Our client, a leading company in the Defence & Security sector, is currently seeking a data-driven and passionate Data Scientist with SC or eDV clearance to join their team. This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact. Key Responsibilities: Leading client projects and providing subject matter expertise. Working in scrum-like environments for iterative and 'fail-fast' work and innovation. Assessing clients' business and technical needs to identify opportunities for data science usage. Solving problems using data science techniques and in a scientifically robust fashion. Identifying relevant data sources and leveraging them to meet client needs. Modelling various forms of data for efficient data science use. Investigating and analysing data to uncover meaningful insights. Applying statistical and evidence-based techniques to inform insights and actions. Communicating technical content appropriately both internally and to customers. Building maintainable code using existing or novel data science techniques. Designing, evaluating, and implementing data science and machine learning techniques. Developing scalable models and algorithms for deployment in production environments. Applying ethical principles in handling data. Delivering high-quality work to agreed timelines and taking the initiative. Supporting client engagements, including pitches and presentations. Contributing to the company strategy and helping to shape the future. Job Requirements: DV Cleared (2023, 2024, 2025) or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). Understanding of coding best practices, design patterns, and versioning. Strong interpersonal skills and the ability to communicate effectively with clients and colleagues. Benefits: Joining a dynamic and agile organisation. Opportunities for professional growth and development. Working in an environment that values transparency, fairness, and daring. Collaborative and respectful work environment. Hybrid working model with 2-3 days in the office or on a client site. If you are a skilled Data Scientist with the necessary clearance and a passion for technology and problem-solving, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team.
08/09/2025
Full time
Our client, a leading company in the Defence & Security sector, is currently seeking a data-driven and passionate Data Scientist with SC or eDV clearance to join their team. This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact. Key Responsibilities: Leading client projects and providing subject matter expertise. Working in scrum-like environments for iterative and 'fail-fast' work and innovation. Assessing clients' business and technical needs to identify opportunities for data science usage. Solving problems using data science techniques and in a scientifically robust fashion. Identifying relevant data sources and leveraging them to meet client needs. Modelling various forms of data for efficient data science use. Investigating and analysing data to uncover meaningful insights. Applying statistical and evidence-based techniques to inform insights and actions. Communicating technical content appropriately both internally and to customers. Building maintainable code using existing or novel data science techniques. Designing, evaluating, and implementing data science and machine learning techniques. Developing scalable models and algorithms for deployment in production environments. Applying ethical principles in handling data. Delivering high-quality work to agreed timelines and taking the initiative. Supporting client engagements, including pitches and presentations. Contributing to the company strategy and helping to shape the future. Job Requirements: DV Cleared (2023, 2024, 2025) or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). Understanding of coding best practices, design patterns, and versioning. Strong interpersonal skills and the ability to communicate effectively with clients and colleagues. Benefits: Joining a dynamic and agile organisation. Opportunities for professional growth and development. Working in an environment that values transparency, fairness, and daring. Collaborative and respectful work environment. Hybrid working model with 2-3 days in the office or on a client site. If you are a skilled Data Scientist with the necessary clearance and a passion for technology and problem-solving, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team.
Role: Embedded Software Engineer
Location: Glasgow OR Dundee they have 2x offices so you can work from either
Salary: £40,000 - £50,000 approx. but can be flexible for the right person
Onsite work: you are required to be onsite 3x days per week
Role description and purpose
We are seeking a talented and passionate Embedded Software Engineer to join our growing technology team. You will play a crucial role in designing, developing, and implementing embedded software for our next-generation aquaculture technology.
This is an exciting opportunity to contribute directly to technology for good, working on real-world systems that have a tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists.
Responsibilities
Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor integration, automated feeding systems, water quality monitoring devices).
Write clean, efficient, and well-documented code Python for embedded systems.
Work with microcontrollers, microprocessors, and real-time operating systems (RTOS).
Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control.
Integrate software with various hardware components, including sensors, actuators, and communication modules.
Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, and deployment.
Develop and execute unit, integration, and system tests to ensure software quality and reliability.
Troubleshoot and debug software and hardware issues in embedded systems.
Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration.
Contribute to the continuous improvement of our software development processes and tools.
Stay up-to-date with the latest advancements in embedded software development and the aquaculture industry.Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
Proven experience (typically 2+ years) in developing embedded software and firmware.
Strong proficiency in Pythen programming for embedded systems.
Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson).
Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus).
Solid understanding of communication protocols (e.g., UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN).
Experience with debugging tools and techniques for embedded systems (e.g., JTAG, oscilloscopes, logic analyzers).
Ability to read and understand hardware schematics and datasheets.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.Preferred Qualifications
Experience with C/C++, BASH, etc. for embedded systems or scripting.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and IoT services.
Familiarity with data acquisition and processing techniques.
Understanding of control systems and algorithms.
Previous experience in the aquaculture, agricultural technology, or environmental monitoring sectors.
Experience with version control systems (e.g., Git).
Experience with agile development methodologies.General Skills
Excellent problem-solving skills and the ability to think creatively to overcome technical challenges.
A passion for learning and staying updated with the latest industry trends and best practices.
Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams, your default should be Openness and transparency.
Desire to take the initiative and self-start when necessary.
Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful.
Benefits:
37.5 hours working week
33 days annual leave
Death in service at 4 x your annual salary
Employee Assistance Programme
Enhanced parental leave policies
Birthday day off
Paid bereavement leave
Paid sick leave
Company pension scheme
Cycle to work scheme
Free parking on the Glasgow site
How to apply?
Please send a CV to
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas
01/06/2025
Role: Embedded Software Engineer
Location: Glasgow OR Dundee they have 2x offices so you can work from either
Salary: £40,000 - £50,000 approx. but can be flexible for the right person
Onsite work: you are required to be onsite 3x days per week
Role description and purpose
We are seeking a talented and passionate Embedded Software Engineer to join our growing technology team. You will play a crucial role in designing, developing, and implementing embedded software for our next-generation aquaculture technology.
This is an exciting opportunity to contribute directly to technology for good, working on real-world systems that have a tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists.
Responsibilities
Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor integration, automated feeding systems, water quality monitoring devices).
Write clean, efficient, and well-documented code Python for embedded systems.
Work with microcontrollers, microprocessors, and real-time operating systems (RTOS).
Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control.
Integrate software with various hardware components, including sensors, actuators, and communication modules.
Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, and deployment.
Develop and execute unit, integration, and system tests to ensure software quality and reliability.
Troubleshoot and debug software and hardware issues in embedded systems.
Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration.
Contribute to the continuous improvement of our software development processes and tools.
Stay up-to-date with the latest advancements in embedded software development and the aquaculture industry.Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
Proven experience (typically 2+ years) in developing embedded software and firmware.
Strong proficiency in Pythen programming for embedded systems.
Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson).
Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus).
Solid understanding of communication protocols (e.g., UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN).
Experience with debugging tools and techniques for embedded systems (e.g., JTAG, oscilloscopes, logic analyzers).
Ability to read and understand hardware schematics and datasheets.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.Preferred Qualifications
Experience with C/C++, BASH, etc. for embedded systems or scripting.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and IoT services.
Familiarity with data acquisition and processing techniques.
Understanding of control systems and algorithms.
Previous experience in the aquaculture, agricultural technology, or environmental monitoring sectors.
Experience with version control systems (e.g., Git).
Experience with agile development methodologies.General Skills
Excellent problem-solving skills and the ability to think creatively to overcome technical challenges.
A passion for learning and staying updated with the latest industry trends and best practices.
Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams, your default should be Openness and transparency.
Desire to take the initiative and self-start when necessary.
Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful.
Benefits:
37.5 hours working week
33 days annual leave
Death in service at 4 x your annual salary
Employee Assistance Programme
Enhanced parental leave policies
Birthday day off
Paid bereavement leave
Paid sick leave
Company pension scheme
Cycle to work scheme
Free parking on the Glasgow site
How to apply?
Please send a CV to
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas
Role: Embedded Software Engineer
Location: Glasgow OR Dundee they have 2x offices so you can work from either
Salary: £40,000 - £50,000 approx. but can be flexible for the right person
Onsite work: you are required to be onsite 3x days per week
Role description and purpose
We are seeking a talented and passionate Embedded Software Engineer to join our growing technology team. You will play a crucial role in designing, developing, and implementing embedded software for our next-generation aquaculture technology.
This is an exciting opportunity to contribute directly to technology for good, working on real-world systems that have a tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists.
Responsibilities
Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor integration, automated feeding systems, water quality monitoring devices).
Write clean, efficient, and well-documented code Python for embedded systems.
Work with microcontrollers, microprocessors, and real-time operating systems (RTOS).
Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control.
Integrate software with various hardware components, including sensors, actuators, and communication modules.
Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, and deployment.
Develop and execute unit, integration, and system tests to ensure software quality and reliability.
Troubleshoot and debug software and hardware issues in embedded systems.
Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration.
Contribute to the continuous improvement of our software development processes and tools.
Stay up-to-date with the latest advancements in embedded software development and the aquaculture industry.Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
Proven experience (typically 2+ years) in developing embedded software and firmware.
Strong proficiency in Pythen programming for embedded systems.
Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson).
Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus).
Solid understanding of communication protocols (e.g., UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN).
Experience with debugging tools and techniques for embedded systems (e.g., JTAG, oscilloscopes, logic analyzers).
Ability to read and understand hardware schematics and datasheets.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.Preferred Qualifications
Experience with C/C++, BASH, etc. for embedded systems or scripting.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and IoT services.
Familiarity with data acquisition and processing techniques.
Understanding of control systems and algorithms.
Previous experience in the aquaculture, agricultural technology, or environmental monitoring sectors.
Experience with version control systems (e.g., Git).
Experience with agile development methodologies.General Skills
Excellent problem-solving skills and the ability to think creatively to overcome technical challenges.
A passion for learning and staying updated with the latest industry trends and best practices.
Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams, your default should be Openness and transparency.
Desire to take the initiative and self-start when necessary.
Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful.
Benefits:
37.5 hours working week
33 days annual leave
Death in service at 4 x your annual salary
Employee Assistance Programme
Enhanced parental leave policies
Birthday day off
Paid bereavement leave
Paid sick leave
Company pension scheme
Cycle to work scheme
Free parking on the Glasgow site
How to apply?
Please send a CV to
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas
01/06/2025
Role: Embedded Software Engineer
Location: Glasgow OR Dundee they have 2x offices so you can work from either
Salary: £40,000 - £50,000 approx. but can be flexible for the right person
Onsite work: you are required to be onsite 3x days per week
Role description and purpose
We are seeking a talented and passionate Embedded Software Engineer to join our growing technology team. You will play a crucial role in designing, developing, and implementing embedded software for our next-generation aquaculture technology.
This is an exciting opportunity to contribute directly to technology for good, working on real-world systems that have a tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists.
Responsibilities
Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor integration, automated feeding systems, water quality monitoring devices).
Write clean, efficient, and well-documented code Python for embedded systems.
Work with microcontrollers, microprocessors, and real-time operating systems (RTOS).
Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control.
Integrate software with various hardware components, including sensors, actuators, and communication modules.
Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, and deployment.
Develop and execute unit, integration, and system tests to ensure software quality and reliability.
Troubleshoot and debug software and hardware issues in embedded systems.
Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration.
Contribute to the continuous improvement of our software development processes and tools.
Stay up-to-date with the latest advancements in embedded software development and the aquaculture industry.Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
Proven experience (typically 2+ years) in developing embedded software and firmware.
Strong proficiency in Pythen programming for embedded systems.
Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson).
Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus).
Solid understanding of communication protocols (e.g., UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN).
Experience with debugging tools and techniques for embedded systems (e.g., JTAG, oscilloscopes, logic analyzers).
Ability to read and understand hardware schematics and datasheets.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.Preferred Qualifications
Experience with C/C++, BASH, etc. for embedded systems or scripting.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and IoT services.
Familiarity with data acquisition and processing techniques.
Understanding of control systems and algorithms.
Previous experience in the aquaculture, agricultural technology, or environmental monitoring sectors.
Experience with version control systems (e.g., Git).
Experience with agile development methodologies.General Skills
Excellent problem-solving skills and the ability to think creatively to overcome technical challenges.
A passion for learning and staying updated with the latest industry trends and best practices.
Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams, your default should be Openness and transparency.
Desire to take the initiative and self-start when necessary.
Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful.
Benefits:
37.5 hours working week
33 days annual leave
Death in service at 4 x your annual salary
Employee Assistance Programme
Enhanced parental leave policies
Birthday day off
Paid bereavement leave
Paid sick leave
Company pension scheme
Cycle to work scheme
Free parking on the Glasgow site
How to apply?
Please send a CV to
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas
Title- Cloud Data Engineer Location- Remote Lemongrass Consulting is the leading professional and managed service provider of SAP enterprise applications running on AWS hyperscale cloud infrastructure. Our objective is to delight our customers every day by reducing the cost and increasing the agility of their SAP systems. We do this with our continuous innovation, automation, migration and operation, delivered on the world's most comprehensive cloud platforms. Our team is what makes Lemongrass exceptional and why we have the excellent reputation in the market that we enjoy today. At Lemongrass, you will work with the smartest and most motivated people in the business. We take pride in our culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day. About the Role: We are seeking an experienced Cloud Data Engineer with a strong background in AWS, Azure, and GCP. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence, etc. You will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. Experience with various data platforms like Redshift, Snowflake, Databricks, Synapse, Snowflake and others is essential. Familiarity with data extraction from SAP or ERP systems is a plus. Key Responsibilities: Design and Development: Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.). Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP). Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse. Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others. Develop and optimize data processing jobs using Spark Scala. Data Integration and Management: Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake. Ensure data quality and integrity through rigorous testing and validation. Perform data extraction from SAP or ERP systems when necessary. Performance Optimization: Monitor and optimize the performance of data pipelines and ETL processes. Implement best practices for data management, including data governance, security, and compliance. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Collaborate with cross-functional teams to design and implement data solutions that meet business needs. Documentation and Maintenance: Document technical solutions, processes, and workflows. Maintain and troubleshoot existing ETL pipelines and data integrations. Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. Experience: 7+ years of experience as a Data Engineer or in a similar role. Proven experience with cloud platforms: AWS, Azure, and GCP. Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc. Experience with other ETL tools like Informatica, SAP Data Intelligence, etc. Experience in building and managing data lakes and data warehouses. Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse. Experience with data extraction from SAP or ERP systems is a plus. Strong experience with Spark and Scala for data processing. Skills: Strong programming skills in Python, Java, or Scala. Proficient in SQL and query optimization techniques. Familiarity with data modelling, ETL/ELT processes, and data warehousing concepts. Knowledge of data governance, security, and compliance best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with other data tools and technologies such as Apache Spark, or Hadoop. Certifications in cloud platforms (AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate). Experience with CI/CD pipelines and DevOps practices for data engineering What we offer in return: Remote Working: Lemongrass always has been and always will offer 100% remote work Flexibility: Work where and when you like most of the time Training: A subscription to A Cloud Guru and generous budget for taking certifications and other resources you'll find helpful State of the art tech : An opportunity to learn and run the latest industry standard tools Team: Colleagues who will challenge you giving the chance to learn from them and them from you Lemongrass Consulting is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation.
23/12/2024
Full time
Title- Cloud Data Engineer Location- Remote Lemongrass Consulting is the leading professional and managed service provider of SAP enterprise applications running on AWS hyperscale cloud infrastructure. Our objective is to delight our customers every day by reducing the cost and increasing the agility of their SAP systems. We do this with our continuous innovation, automation, migration and operation, delivered on the world's most comprehensive cloud platforms. Our team is what makes Lemongrass exceptional and why we have the excellent reputation in the market that we enjoy today. At Lemongrass, you will work with the smartest and most motivated people in the business. We take pride in our culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day. About the Role: We are seeking an experienced Cloud Data Engineer with a strong background in AWS, Azure, and GCP. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence, etc. You will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. Experience with various data platforms like Redshift, Snowflake, Databricks, Synapse, Snowflake and others is essential. Familiarity with data extraction from SAP or ERP systems is a plus. Key Responsibilities: Design and Development: Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.). Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP). Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse. Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others. Develop and optimize data processing jobs using Spark Scala. Data Integration and Management: Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake. Ensure data quality and integrity through rigorous testing and validation. Perform data extraction from SAP or ERP systems when necessary. Performance Optimization: Monitor and optimize the performance of data pipelines and ETL processes. Implement best practices for data management, including data governance, security, and compliance. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Collaborate with cross-functional teams to design and implement data solutions that meet business needs. Documentation and Maintenance: Document technical solutions, processes, and workflows. Maintain and troubleshoot existing ETL pipelines and data integrations. Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. Experience: 7+ years of experience as a Data Engineer or in a similar role. Proven experience with cloud platforms: AWS, Azure, and GCP. Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc. Experience with other ETL tools like Informatica, SAP Data Intelligence, etc. Experience in building and managing data lakes and data warehouses. Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse. Experience with data extraction from SAP or ERP systems is a plus. Strong experience with Spark and Scala for data processing. Skills: Strong programming skills in Python, Java, or Scala. Proficient in SQL and query optimization techniques. Familiarity with data modelling, ETL/ELT processes, and data warehousing concepts. Knowledge of data governance, security, and compliance best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with other data tools and technologies such as Apache Spark, or Hadoop. Certifications in cloud platforms (AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate). Experience with CI/CD pipelines and DevOps practices for data engineering What we offer in return: Remote Working: Lemongrass always has been and always will offer 100% remote work Flexibility: Work where and when you like most of the time Training: A subscription to A Cloud Guru and generous budget for taking certifications and other resources you'll find helpful State of the art tech : An opportunity to learn and run the latest industry standard tools Team: Colleagues who will challenge you giving the chance to learn from them and them from you Lemongrass Consulting is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation.
Site Name: UK - Kings Cross - London, Switzerland - Zug, UK - Hertfordshire - Stevenage Posted Date: Jun Senior AI/ML Engineer - Biomedical AI At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. To help us make this future a reality, we are looking for accomplishedSenior Artificial Intelligence and Machine Learning Engineersthat have a track record of delivering state-of-the-art machine learning models for solving challenging real-world scientific problems. Senior AI/ML Engineers at GSK are experienced scientists and engineers with in-depth knowledge in modern machine learning, a keen interest in making a positive impact in healthcare, and strong experience in engineering software solutions at scale. To strengthen our team in Europe, we are looking for skilledSenior Artificial Intelligence and Machine Learning Engineersthat will drive the development of state-of-the-art biomedical AI algorithms. This role will be focused on researching, designing, implementing, and delivering cutting-edge prediction models across a range of challenging biomedical tasks using state-of-the-art high-performance computing facilities and the vast and detailed biomedical data sources available at GSK. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. You will: Take ownership of, design and implement AI/ML-driven solutions along the entire model development life cycle. Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks. Deliver robust, tested and performant code in an agile environment. Mentor colleagues and act as a role model for robust and scalable machine learning engineering. Lead early project definition and scoping together with domain experts across the company. Liaise with experts in biology, medicine and experimentation to ensure optimal collection of data to train biomedical machine learning models. Basic Qualifications We are looking for professionals with theserequired skillsto achieve our goals: Masters or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent additional work experience delivering state-of-the-art AI/ML solutions. 3+ years of experience in AI/ML engineering with an established track record of successful delivery of state-of-the-art AI/ML solutions. Expert-level knowledge in at least one major deep learning framework (PyTorch, TensorFlow). Familiarity with machine learning literature, foundational mathematics and statistics, and state-of-the-art modelling approaches. Previous experience in designing, developing and delivering robust commercial AIML software solutions, including demonstrated advanced programming expertise in Python. Expert knowledge of software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, High Performance Computing (HPC), and shell scripting. Background or interest in biology or medicine is a plus but not required. Fluency in English. Knowledge of German is not required for this position. Preferred Qualifications If you have the following characteristics, it would be a plus: Contributions to relevant open-source projects. Relevant first-author scientific publications in AI/ML (NeurIPS, ICML, ICLR, AAAI, among others), computational biology or bioinformatics venues. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images) LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
24/09/2022
Full time
Site Name: UK - Kings Cross - London, Switzerland - Zug, UK - Hertfordshire - Stevenage Posted Date: Jun Senior AI/ML Engineer - Biomedical AI At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. To help us make this future a reality, we are looking for accomplishedSenior Artificial Intelligence and Machine Learning Engineersthat have a track record of delivering state-of-the-art machine learning models for solving challenging real-world scientific problems. Senior AI/ML Engineers at GSK are experienced scientists and engineers with in-depth knowledge in modern machine learning, a keen interest in making a positive impact in healthcare, and strong experience in engineering software solutions at scale. To strengthen our team in Europe, we are looking for skilledSenior Artificial Intelligence and Machine Learning Engineersthat will drive the development of state-of-the-art biomedical AI algorithms. This role will be focused on researching, designing, implementing, and delivering cutting-edge prediction models across a range of challenging biomedical tasks using state-of-the-art high-performance computing facilities and the vast and detailed biomedical data sources available at GSK. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. You will: Take ownership of, design and implement AI/ML-driven solutions along the entire model development life cycle. Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks. Deliver robust, tested and performant code in an agile environment. Mentor colleagues and act as a role model for robust and scalable machine learning engineering. Lead early project definition and scoping together with domain experts across the company. Liaise with experts in biology, medicine and experimentation to ensure optimal collection of data to train biomedical machine learning models. Basic Qualifications We are looking for professionals with theserequired skillsto achieve our goals: Masters or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent additional work experience delivering state-of-the-art AI/ML solutions. 3+ years of experience in AI/ML engineering with an established track record of successful delivery of state-of-the-art AI/ML solutions. Expert-level knowledge in at least one major deep learning framework (PyTorch, TensorFlow). Familiarity with machine learning literature, foundational mathematics and statistics, and state-of-the-art modelling approaches. Previous experience in designing, developing and delivering robust commercial AIML software solutions, including demonstrated advanced programming expertise in Python. Expert knowledge of software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, High Performance Computing (HPC), and shell scripting. Background or interest in biology or medicine is a plus but not required. Fluency in English. Knowledge of German is not required for this position. Preferred Qualifications If you have the following characteristics, it would be a plus: Contributions to relevant open-source projects. Relevant first-author scientific publications in AI/ML (NeurIPS, ICML, ICLR, AAAI, among others), computational biology or bioinformatics venues. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images) LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Site Name: Canada - Ontario - Mississauga, Belgium-Wavre, GSK House, UK - Hertfordshire - Stevenage, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence, Warsaw Posted Date: Jun Global Clinical Development Manager GSK continues to expand its oncology organization, and we are looking for experienced professionals to help us grow our internal expertise! We have an exciting (and expanding) portfolio and are looking for Clinical Operations Leaders who have experience leading global oncology studies. It's a wonderful time to join our team because we have multiple open positions in the areas of Immuno-Oncology and Synthetic Lethality & Cancer Epigenetics. Apply to learn more! Remote working outside of listed locations may be considered for a limited number of qualified applicants by exception and where the needs of the individual and the business can both be met. The Role: Reporting to the Study Delivery Lead (Team) Director, this job within Global Clinical Delivery (GCD) combines end-to-end design, execution, and reporting of clinical trials with leadership in project teams and across matrix teams. This position within GCD is accountable for planning and leading the delivery of oncology studies to time, quality, budget, company standards and scientific requirements as outlined in the clinical study proposal. This involves generating robust and accelerated delivery plans (with a focus on upper quartile performance) and delivering these to target or stretch thresholds. The role may span oncology assets from early through to late phase of development and include delivery through one or more of in-house, outsourced and alliance delivery models. This role is highly visible within Global Clinical Operations. Key attributes include demonstrated ability to input to and influence studies/projects through operational expertise and effective stakeholder management. This job requires strategic thinking, solution-finding, and agility as evidenced by flexibility, adaptability to change, curiosity, and ability to lead and drive change. Essential behaviours include continuous improvement and learning, effectiveness at building networks of partners and stakeholders, and ability to lead and inspire others. A track record of applying experience and judgement towards agile project decision-making, effective peer review, and shared learning is essential. Key Responsibilities: Lead the global study delivery strategy (e.g., country selection, diversity, patient engagement strategy, recruitment plan, etc). Drive assessment, selection, engagement, and management of appropriate vendors. Ensure compliance with ICH/GCP guidelines, all applicable laws and regulations, and GSK SOPs, for all products and services delivered for their designated studies. Make decisions which balance risk/benefit with clear understanding of impact on the study and project; takes action to mitigate risk where appropriate. Actively partner to build relationships and collaborate with oncology aligned staff in other global functions. Encourage others within matrix and line teams to seek alternative perspectives and develop solutions. Lead the conduct of investigator meetings and other study related meetings. Lead risk management and quality efforts to ensure study compliance and continual inspection readiness. Work with matrix partners, asset lead and/or manager to develop and manage study level budget within project budget allocation. Lead / contribute to ways of working and process improvement initiatives. Input into protocol development from a Clinical Operations perspective. Partner with Data Management and Clinical Sciences to develop the data cleaning strategy for the study Actively partner to build relationships and collaborate with Oncology aligned staff in other global functions e.g., partnering with functional lines to deliver the Clinical Study Report. Work with the Oncology patient councils to develop patient centric documents and address patient burden. When applying for this role, please use the 'cover letter' and your CV/resume to describe how you meet the skills and competencies for this role, as outlined in the job description above. The information that you have provided in your cover letter and CV/resume will be used to assess your application. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelor's degree in life sciences or related discipline. Considerable clinical development experience with at least 3 years as a global study leader with proven experience in driving operational study delivery to time, cost, and quality within the pharmaceutical industry or CRO environment. Proven operational experience of leading high performing global study teams in Oncology clinical trials. Proactively identify and resolve issues to ensure timely study delivery to quality, timelines, and budget. Strong leadership, influencing and negotiation skills. Demonstrated experience leading in the matrix environment to deliver projects, develop clinical plans and manage change. In-depth knowledge of either study management or data management, and knowledge of essential regulatory guidelines and ICH/GCP. Proven experience working with investigators, external experts and regulatory agencies and effective oversight of Contract research Organisations and third-party vendors including realigning with CRO partners when deliverables are at risk, negotiating solutions and leading After Action Reviews to share lessons learned. Ability to establish and build internal and external relationships at all levels in a highly dynamic and matrixed environment. Excellent project and budget management skills; review vendor invoices and drive the tracking of spend against approved budget. Possess competent written skills and experienced in authoring patient facing materials, study procedures manuals, pharmacy manuals, and informed consent forms. Preferred Qualifications: If you have the following characteristics, it would be a plus: Proven clinical development experience across all phases of development (I-IV). Highly developed communication skills appropriate to the target audience, promoting effective decision-making where necessary. Proven expertise in the proactive identification of issues which may impact clinical programs coupled with the ability to contribute to solutions affecting cross-functional matrix teams. Creative thinker able to modernise approach to clinical delivery, leverage external technology and networks to deliver value. in R&D At GSK, we want to find new medicines and vaccines in ways that are faster, more effective and more predictable. We start with what matters most, the science. Our approach to R&D focuses on science related to the immune system, the use of human genetics, and advanced technologies. Our pipeline currently comprises of more than 60 vaccines and medicines across four core therapeutic areas including oncology, infectious diseases, immunology / respiratory and HIV. We have pivotal study startsin 2021 for our RSV vaccine in older adults, COVID-19 assets, long-acting anti-IL-5 antagonist, daprodustat, and dostarlimab. In oncology, momentum is building with 15 potential medicines in trials, including nine immuno-oncology and three cell therapies. We give our scientists the freedom to own the process. Our scientists often use genetic data to help us understand the root cause of disease. We steer the research where the data shows we can domost good. If a project doesn't pan out, we take what we've learned and apply it elsewhere. Technology can help us find patterns in genetic data better and faster. We're using machine learning to unlock the potential of complex genetic data with new levels of speed, precision, and scale. And we're one of the first biopharmaceutical companies to have created an in-house AI lab dedicated to drug development. Even with the knowledge, tools, and resources within GSK, there's always a benefit to new perspectives. That's why we're increasingly partnering with and hiring outstanding people from cutting edge fields like tech, data-science and academia. In 2018, GSK formed an exclusive, highly innovative collaboration with 23andMe, the world's leading consumer genetics and research company. Other partners include: the Altius Institute; the UK Biobank, which is generating anonymized genetic sequence data from 500,000 volunteers; and the Open Targets Consortium, the mindset and approach of smaller, more agile startups. Find out more: Our approach to R&D . Why GSK? At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Health, strengthening our leadership, and transforming our commercial execution. Now, we're making the biggest changes we've made to our business in over 20 years. We're on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands. With new ambition comes new purpose. For New GSK, this is to unite science, talent..... click apply for full job details
23/09/2022
Full time
Site Name: Canada - Ontario - Mississauga, Belgium-Wavre, GSK House, UK - Hertfordshire - Stevenage, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence, Warsaw Posted Date: Jun Global Clinical Development Manager GSK continues to expand its oncology organization, and we are looking for experienced professionals to help us grow our internal expertise! We have an exciting (and expanding) portfolio and are looking for Clinical Operations Leaders who have experience leading global oncology studies. It's a wonderful time to join our team because we have multiple open positions in the areas of Immuno-Oncology and Synthetic Lethality & Cancer Epigenetics. Apply to learn more! Remote working outside of listed locations may be considered for a limited number of qualified applicants by exception and where the needs of the individual and the business can both be met. The Role: Reporting to the Study Delivery Lead (Team) Director, this job within Global Clinical Delivery (GCD) combines end-to-end design, execution, and reporting of clinical trials with leadership in project teams and across matrix teams. This position within GCD is accountable for planning and leading the delivery of oncology studies to time, quality, budget, company standards and scientific requirements as outlined in the clinical study proposal. This involves generating robust and accelerated delivery plans (with a focus on upper quartile performance) and delivering these to target or stretch thresholds. The role may span oncology assets from early through to late phase of development and include delivery through one or more of in-house, outsourced and alliance delivery models. This role is highly visible within Global Clinical Operations. Key attributes include demonstrated ability to input to and influence studies/projects through operational expertise and effective stakeholder management. This job requires strategic thinking, solution-finding, and agility as evidenced by flexibility, adaptability to change, curiosity, and ability to lead and drive change. Essential behaviours include continuous improvement and learning, effectiveness at building networks of partners and stakeholders, and ability to lead and inspire others. A track record of applying experience and judgement towards agile project decision-making, effective peer review, and shared learning is essential. Key Responsibilities: Lead the global study delivery strategy (e.g., country selection, diversity, patient engagement strategy, recruitment plan, etc). Drive assessment, selection, engagement, and management of appropriate vendors. Ensure compliance with ICH/GCP guidelines, all applicable laws and regulations, and GSK SOPs, for all products and services delivered for their designated studies. Make decisions which balance risk/benefit with clear understanding of impact on the study and project; takes action to mitigate risk where appropriate. Actively partner to build relationships and collaborate with oncology aligned staff in other global functions. Encourage others within matrix and line teams to seek alternative perspectives and develop solutions. Lead the conduct of investigator meetings and other study related meetings. Lead risk management and quality efforts to ensure study compliance and continual inspection readiness. Work with matrix partners, asset lead and/or manager to develop and manage study level budget within project budget allocation. Lead / contribute to ways of working and process improvement initiatives. Input into protocol development from a Clinical Operations perspective. Partner with Data Management and Clinical Sciences to develop the data cleaning strategy for the study Actively partner to build relationships and collaborate with Oncology aligned staff in other global functions e.g., partnering with functional lines to deliver the Clinical Study Report. Work with the Oncology patient councils to develop patient centric documents and address patient burden. When applying for this role, please use the 'cover letter' and your CV/resume to describe how you meet the skills and competencies for this role, as outlined in the job description above. The information that you have provided in your cover letter and CV/resume will be used to assess your application. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelor's degree in life sciences or related discipline. Considerable clinical development experience with at least 3 years as a global study leader with proven experience in driving operational study delivery to time, cost, and quality within the pharmaceutical industry or CRO environment. Proven operational experience of leading high performing global study teams in Oncology clinical trials. Proactively identify and resolve issues to ensure timely study delivery to quality, timelines, and budget. Strong leadership, influencing and negotiation skills. Demonstrated experience leading in the matrix environment to deliver projects, develop clinical plans and manage change. In-depth knowledge of either study management or data management, and knowledge of essential regulatory guidelines and ICH/GCP. Proven experience working with investigators, external experts and regulatory agencies and effective oversight of Contract research Organisations and third-party vendors including realigning with CRO partners when deliverables are at risk, negotiating solutions and leading After Action Reviews to share lessons learned. Ability to establish and build internal and external relationships at all levels in a highly dynamic and matrixed environment. Excellent project and budget management skills; review vendor invoices and drive the tracking of spend against approved budget. Possess competent written skills and experienced in authoring patient facing materials, study procedures manuals, pharmacy manuals, and informed consent forms. Preferred Qualifications: If you have the following characteristics, it would be a plus: Proven clinical development experience across all phases of development (I-IV). Highly developed communication skills appropriate to the target audience, promoting effective decision-making where necessary. Proven expertise in the proactive identification of issues which may impact clinical programs coupled with the ability to contribute to solutions affecting cross-functional matrix teams. Creative thinker able to modernise approach to clinical delivery, leverage external technology and networks to deliver value. in R&D At GSK, we want to find new medicines and vaccines in ways that are faster, more effective and more predictable. We start with what matters most, the science. Our approach to R&D focuses on science related to the immune system, the use of human genetics, and advanced technologies. Our pipeline currently comprises of more than 60 vaccines and medicines across four core therapeutic areas including oncology, infectious diseases, immunology / respiratory and HIV. We have pivotal study startsin 2021 for our RSV vaccine in older adults, COVID-19 assets, long-acting anti-IL-5 antagonist, daprodustat, and dostarlimab. In oncology, momentum is building with 15 potential medicines in trials, including nine immuno-oncology and three cell therapies. We give our scientists the freedom to own the process. Our scientists often use genetic data to help us understand the root cause of disease. We steer the research where the data shows we can domost good. If a project doesn't pan out, we take what we've learned and apply it elsewhere. Technology can help us find patterns in genetic data better and faster. We're using machine learning to unlock the potential of complex genetic data with new levels of speed, precision, and scale. And we're one of the first biopharmaceutical companies to have created an in-house AI lab dedicated to drug development. Even with the knowledge, tools, and resources within GSK, there's always a benefit to new perspectives. That's why we're increasingly partnering with and hiring outstanding people from cutting edge fields like tech, data-science and academia. In 2018, GSK formed an exclusive, highly innovative collaboration with 23andMe, the world's leading consumer genetics and research company. Other partners include: the Altius Institute; the UK Biobank, which is generating anonymized genetic sequence data from 500,000 volunteers; and the Open Targets Consortium, the mindset and approach of smaller, more agile startups. Find out more: Our approach to R&D . Why GSK? At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Health, strengthening our leadership, and transforming our commercial execution. Now, we're making the biggest changes we've made to our business in over 20 years. We're on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands. With new ambition comes new purpose. For New GSK, this is to unite science, talent..... click apply for full job details
Site Name: UK - Hertfordshire - Stevenage, GSK House, USA - Pennsylvania - Upper Providence Posted Date: Sep Senior Study Delivery Lead Are you a clinical operations professional looking for an exciting and varied role in a dynamic, high performing department? Are you currently in a scientific role but looking for a new challenge? This could be the job for you! In Value, Evidence and Outcomes (VEO), we lead a wide variety of studies to support the development and reimbursement of GSK's innovative medicine portfolio. The VEO family is made up of Value Evidence scientists, epidemiologists, patient centered outcomes scientists, patient focused development leads, data analysts and modellers, as well as critical support functions of study delivery, project management, quality, and business operations who work together to deliver an expanding portfolio. We currently have an open position in VEO Study Delivery for the right candidate. This Senior Study Delivery Lead role within VEO Study Delivery and Quality Operations involves the end-to-end design, execution, and reporting of clinical studies and trials. This role includes responsibility and / or accountability for the set-up, coordination, execution, and delivery of the VEO portfolio in partnership with the Science Lead . Remote working outside of listed locations may be considered for qualified applicants where the needs of the individual and the business can both be met. In this role you will Plan and lead the delivery of VEO studies to timelines, quality, budget, company standards and scientific requirements, from concept protocol to final study report Be a ccountable for coordination and delivery of a fully feasible Study Protocol, Informed Consent Forms, operationally robust study documents and Clinical Study Reports Be a ccountable for the study delivery strategy ( e.g. country selection, diversity, patient identification and engagement strategy, recruitment plan, digital platforms/tools etc) Have responsibility and/or accountability to drive assessment, selection, engagement, and management of appropriate vendors as the majority of VEO studies are fully outsourced Ensure compliance with ICH/GCP & ENCePP guidelines and/or applicable guidelines for VEO studies such as Good Pharmacovigilance Practices (GVP), Good Epidemiological Practices (GEP) and CIOMS, all applicable laws and regulations, and GSK SOPs, for all products and services delivered for their designated studies Make decisions which balance risk/benefit with clear understanding of impact on the study and project; act to mitigate risk where appropriate Work with matrix partners, Study Delivery Therapy Area Lead and/or manager to develop and manage study level budget within project budget allocation A ctive ly build partnership s for your portfolios and collaboration with therapy aligned staff in other functions. Interact effectively across boundaries with other global functions using influencing and relationship-building skills Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Broad understanding of the pharmaceutical industry and the clinical development process Ability to establish and build internal and external relationships at all levels in a highly dynamic matrix environment Highly developed communication skills appropriate to the target audience, promoting effective decision-making where necessary Ability to work independently and proactively and to take on leadership roles on cross-functional study teams Excellent leadership skills Excellent influencing and negotiation skills Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: In depth knowledge of study management and knowledge of essential regulatory guidelines worldwide Proven expertise in the proactive identification of issues which may impact clinical programmes coupled with the ability to contribute to solutions affecting cross-functional matrix teams Advanced degree ( e.g. MS, PhD, PharmD) or equivalent experience Demonstrated experience leading in a matrix environment to deliver projects, develop clinical plans, and manage change Experience in managing relationships with vendors to ensure successful delivery of projects Why GSK? Uniting science, technology and talent to get ahead of disease together, GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued and included. Where they can keep growing and look after their wellbeing.So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more: Annual Report 2021 Closing Date for Applications: Friday 30th September 2022 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. LI-GSK GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK..... click apply for full job details
23/09/2022
Full time
Site Name: UK - Hertfordshire - Stevenage, GSK House, USA - Pennsylvania - Upper Providence Posted Date: Sep Senior Study Delivery Lead Are you a clinical operations professional looking for an exciting and varied role in a dynamic, high performing department? Are you currently in a scientific role but looking for a new challenge? This could be the job for you! In Value, Evidence and Outcomes (VEO), we lead a wide variety of studies to support the development and reimbursement of GSK's innovative medicine portfolio. The VEO family is made up of Value Evidence scientists, epidemiologists, patient centered outcomes scientists, patient focused development leads, data analysts and modellers, as well as critical support functions of study delivery, project management, quality, and business operations who work together to deliver an expanding portfolio. We currently have an open position in VEO Study Delivery for the right candidate. This Senior Study Delivery Lead role within VEO Study Delivery and Quality Operations involves the end-to-end design, execution, and reporting of clinical studies and trials. This role includes responsibility and / or accountability for the set-up, coordination, execution, and delivery of the VEO portfolio in partnership with the Science Lead . Remote working outside of listed locations may be considered for qualified applicants where the needs of the individual and the business can both be met. In this role you will Plan and lead the delivery of VEO studies to timelines, quality, budget, company standards and scientific requirements, from concept protocol to final study report Be a ccountable for coordination and delivery of a fully feasible Study Protocol, Informed Consent Forms, operationally robust study documents and Clinical Study Reports Be a ccountable for the study delivery strategy ( e.g. country selection, diversity, patient identification and engagement strategy, recruitment plan, digital platforms/tools etc) Have responsibility and/or accountability to drive assessment, selection, engagement, and management of appropriate vendors as the majority of VEO studies are fully outsourced Ensure compliance with ICH/GCP & ENCePP guidelines and/or applicable guidelines for VEO studies such as Good Pharmacovigilance Practices (GVP), Good Epidemiological Practices (GEP) and CIOMS, all applicable laws and regulations, and GSK SOPs, for all products and services delivered for their designated studies Make decisions which balance risk/benefit with clear understanding of impact on the study and project; act to mitigate risk where appropriate Work with matrix partners, Study Delivery Therapy Area Lead and/or manager to develop and manage study level budget within project budget allocation A ctive ly build partnership s for your portfolios and collaboration with therapy aligned staff in other functions. Interact effectively across boundaries with other global functions using influencing and relationship-building skills Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Broad understanding of the pharmaceutical industry and the clinical development process Ability to establish and build internal and external relationships at all levels in a highly dynamic matrix environment Highly developed communication skills appropriate to the target audience, promoting effective decision-making where necessary Ability to work independently and proactively and to take on leadership roles on cross-functional study teams Excellent leadership skills Excellent influencing and negotiation skills Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: In depth knowledge of study management and knowledge of essential regulatory guidelines worldwide Proven expertise in the proactive identification of issues which may impact clinical programmes coupled with the ability to contribute to solutions affecting cross-functional matrix teams Advanced degree ( e.g. MS, PhD, PharmD) or equivalent experience Demonstrated experience leading in a matrix environment to deliver projects, develop clinical plans, and manage change Experience in managing relationships with vendors to ensure successful delivery of projects Why GSK? Uniting science, technology and talent to get ahead of disease together, GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued and included. Where they can keep growing and look after their wellbeing.So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more: Annual Report 2021 Closing Date for Applications: Friday 30th September 2022 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. LI-GSK GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK..... click apply for full job details
Senior Clinical Data Scientist Responsible for the end-to-end coordination of cross functional data collection and cleaning activities to ensure clinical study data deliverables are fit for purpose and align with the executed contract and sponsor expectations and timelines. Come discover what our 25,000+ employees already know: work here matters everywhere. We're a growing and evolving biopharmaceutical industry leader, which means you'll have endless opportunities to work with experts around the world and build the career you've dreamed of. As a part of the Syneos Health team, you'll help us deliver results for a rewarding reason - we improve patients' lives around the world. Because to us, a patient isn't just a number, they're our family, friends, and neighbors. Why Syneos Health • means we're committed to our Total Self culture - where everyone can authentically be themselves. Our Total Self culture is what unites us globally, and we know every person's unique contributions make a difference. • We believe our success is a direct result of the people who are driving it - you! We value your dedication to care for our customers and patients, so we want to focus on taking care of you. That's why we offer a comprehensive benefits program encompassing your total health - physical, mental and financial. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job responsibilities Serves as Functional Lead for Clinical Data Science on complex project with diverse scope, including primary contact for internal liaison between Clinical Data Science and Project Management, Clinical Monitoring, and other functional groups. Acts as central steward of clinical data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, taking into account the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive clinical data quality Ensures the required data elements and corresponding data quality oversight steps are identified to support the defined study analysis Works with assigned project teams to communicate, address, troubleshoot and resolve complex data related questions and recommends potential solutions; escalates issues which potentially impact patient safety and study analysis Coordinates cross functional data cleaning activities to ensure quality standards and timelines are met for clinical data deliverables Develops the clinical data acquisition plan and corresponding data flow diagram for complex studies, assess risks associated with protocol design or program level strategies, study set parameters that could impact the credibility and reliability of the trial results within a program of studies. Aligns data flow with the study protocol to ensure data collected meets regulatory and study endpoint requirements. Design and drives the development of analytical tools, utilizes analytical platform/dashboard to detect potentially unreliable data that may impact the validity of the trial results. Demonstrates understanding of advanced technology method and the scope of applicability for study or program of studies Performs analytic reviews as defined in scope of work and data acquisition plan, identifies root cause to systematically resolve complex data issues Monitors and communicates project progress to the Sponsor and project team including use of project status reports and tracking tools/metrics Ensures launch, delivery and completion of all Clinical Data Sciences activities and milestones according to contractual agreement and relevant Standard Operating Procedures (SOPs), guidelines, and regulations Perform metric collection and data analysis to support continuous process improvement Review, maintain budget and identify out of scope for Clinical Sciences activities, raise to PM to be implemented in required change order Plans, manages, and requests Clinical Data Science resources for assigned projects Coordinates the work of the assigned Clinical Data Science team Develops and maintains project plans, specifications, and documentation in line with SOP requirements Maintains documentation on an ongoing basis and ensures that all TMF filing is up to date for necessary files Participates in, and presents at internal, Sponsor, third-party, and investigator meetings on behalf of clinical data science responsibilities Prepares input, and participates in proposal bid defense meetings and request for proposals on behalf of clinical data science responsibilities Actively promote new clinical data science business opportunities aligned with sponsor strategies. Plans for and creates necessary documentation to support internal and external audits; participates in such audits on behalf of clinical data sciences responsibilities Trains and mentors new or junior team members Maintains proficiency in Clinical Data Science systems and processes through regular training. May attend/represent the company at professional meetings/conferences Performs other work-related duties as assigned. Minimal travel may be required (up to 25%) What we're looking for BA/BS in the biological sciences, computer sciences, mathematics, or data sciences and/or related disciplines in the natural science/health care space. MS degree is preferred. In lieu of degree, equivalent relevant work experience Clinical Data Science experience or an equivalent combination of education and experience Experience in Clinical Data Science practices and relational database management software systems In-depth knowledge of the drug development process and its impact on data quality, in particular riskbased approach, biometrics procedures, workflows. Sound knowledge of analytic modeling methods such as regression, classification and clustering Strong project management skills and knowledge of project management methodologies Strong analytical skills and knowledge of Artificial intelligence /machine learning methodologies preferred Demonstrated staff leadership skills Knowledge of ALCOA+ data quality principles Expertise in protocol interpretation, data collection and data cleaning specification development Experienced with data analysis/data review and visualization tool sets including but not limited to Python, R, Spotfire, SAS Knowledge of medical terminology, clinical data, and ICH/GCP regulatory requirements for clinical studies, in particular requirements applicable to Clinical Data Sciences Proficiency in MS Windows navigation, Word, Excel, PowerPoint, and email applications Effective oral and written communication and presentation skills Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while providing attention to detail Ability to be flexible and adapt to change, to work independently, as well as part of a multi-disciplinary team Ability to make effective decisions and manage multiple priorities in a highly dynamic environment Get to know Syneos Health We are the only full-service biopharmaceutical solutions company in the world. That means we bring together the best clinical and commercial minds to create a better, smarter, faster way to get medicines into the hands of patients who need it most. Learn more about Syneos Health. Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
22/09/2022
Full time
Senior Clinical Data Scientist Responsible for the end-to-end coordination of cross functional data collection and cleaning activities to ensure clinical study data deliverables are fit for purpose and align with the executed contract and sponsor expectations and timelines. Come discover what our 25,000+ employees already know: work here matters everywhere. We're a growing and evolving biopharmaceutical industry leader, which means you'll have endless opportunities to work with experts around the world and build the career you've dreamed of. As a part of the Syneos Health team, you'll help us deliver results for a rewarding reason - we improve patients' lives around the world. Because to us, a patient isn't just a number, they're our family, friends, and neighbors. Why Syneos Health • means we're committed to our Total Self culture - where everyone can authentically be themselves. Our Total Self culture is what unites us globally, and we know every person's unique contributions make a difference. • We believe our success is a direct result of the people who are driving it - you! We value your dedication to care for our customers and patients, so we want to focus on taking care of you. That's why we offer a comprehensive benefits program encompassing your total health - physical, mental and financial. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job responsibilities Serves as Functional Lead for Clinical Data Science on complex project with diverse scope, including primary contact for internal liaison between Clinical Data Science and Project Management, Clinical Monitoring, and other functional groups. Acts as central steward of clinical data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, taking into account the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive clinical data quality Ensures the required data elements and corresponding data quality oversight steps are identified to support the defined study analysis Works with assigned project teams to communicate, address, troubleshoot and resolve complex data related questions and recommends potential solutions; escalates issues which potentially impact patient safety and study analysis Coordinates cross functional data cleaning activities to ensure quality standards and timelines are met for clinical data deliverables Develops the clinical data acquisition plan and corresponding data flow diagram for complex studies, assess risks associated with protocol design or program level strategies, study set parameters that could impact the credibility and reliability of the trial results within a program of studies. Aligns data flow with the study protocol to ensure data collected meets regulatory and study endpoint requirements. Design and drives the development of analytical tools, utilizes analytical platform/dashboard to detect potentially unreliable data that may impact the validity of the trial results. Demonstrates understanding of advanced technology method and the scope of applicability for study or program of studies Performs analytic reviews as defined in scope of work and data acquisition plan, identifies root cause to systematically resolve complex data issues Monitors and communicates project progress to the Sponsor and project team including use of project status reports and tracking tools/metrics Ensures launch, delivery and completion of all Clinical Data Sciences activities and milestones according to contractual agreement and relevant Standard Operating Procedures (SOPs), guidelines, and regulations Perform metric collection and data analysis to support continuous process improvement Review, maintain budget and identify out of scope for Clinical Sciences activities, raise to PM to be implemented in required change order Plans, manages, and requests Clinical Data Science resources for assigned projects Coordinates the work of the assigned Clinical Data Science team Develops and maintains project plans, specifications, and documentation in line with SOP requirements Maintains documentation on an ongoing basis and ensures that all TMF filing is up to date for necessary files Participates in, and presents at internal, Sponsor, third-party, and investigator meetings on behalf of clinical data science responsibilities Prepares input, and participates in proposal bid defense meetings and request for proposals on behalf of clinical data science responsibilities Actively promote new clinical data science business opportunities aligned with sponsor strategies. Plans for and creates necessary documentation to support internal and external audits; participates in such audits on behalf of clinical data sciences responsibilities Trains and mentors new or junior team members Maintains proficiency in Clinical Data Science systems and processes through regular training. May attend/represent the company at professional meetings/conferences Performs other work-related duties as assigned. Minimal travel may be required (up to 25%) What we're looking for BA/BS in the biological sciences, computer sciences, mathematics, or data sciences and/or related disciplines in the natural science/health care space. MS degree is preferred. In lieu of degree, equivalent relevant work experience Clinical Data Science experience or an equivalent combination of education and experience Experience in Clinical Data Science practices and relational database management software systems In-depth knowledge of the drug development process and its impact on data quality, in particular riskbased approach, biometrics procedures, workflows. Sound knowledge of analytic modeling methods such as regression, classification and clustering Strong project management skills and knowledge of project management methodologies Strong analytical skills and knowledge of Artificial intelligence /machine learning methodologies preferred Demonstrated staff leadership skills Knowledge of ALCOA+ data quality principles Expertise in protocol interpretation, data collection and data cleaning specification development Experienced with data analysis/data review and visualization tool sets including but not limited to Python, R, Spotfire, SAS Knowledge of medical terminology, clinical data, and ICH/GCP regulatory requirements for clinical studies, in particular requirements applicable to Clinical Data Sciences Proficiency in MS Windows navigation, Word, Excel, PowerPoint, and email applications Effective oral and written communication and presentation skills Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while providing attention to detail Ability to be flexible and adapt to change, to work independently, as well as part of a multi-disciplinary team Ability to make effective decisions and manage multiple priorities in a highly dynamic environment Get to know Syneos Health We are the only full-service biopharmaceutical solutions company in the world. That means we bring together the best clinical and commercial minds to create a better, smarter, faster way to get medicines into the hands of patients who need it most. Learn more about Syneos Health. Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
High Performance Computing (HPC) Scientific Software Developers The AWE Physics function are currently looking for a wide range of candidates, with a broad range of skills, at various stages of their careers, to work alongside likeminded software developers and scientists. AWE offers a diverse and unique scientific computing platform on a scale that only a handful of sites across the UK offer. It utilises multiple small development and large HPC platforms with novel architectures that are routinely used for code porting and research related activities. Location : Reading/ Basingstoke area (On site working) Salary (All salaries are dependent on your suitability and level of experience) : Junior Scientific Software Developer: £26,500 - £32,000 per annum Experienced Scientific Software Developer: £33,000 - £45,000 per annum Senior Scientific Software Developer: £46,000 - £60,000 per annum AWE (one of the best 25 big companies to work for in the UK) offers an attractive array of benefits which include: Market leading contributory pension scheme Generous holiday entitlement (270 hours a year, including Bank Holidays, plus every other Friday off) Flexible working hours Salary sacrifice scheme Consideration for either full time or part time hours. Just let us know on your application if you wish to work part time Relocation package available (terms and conditions apply) In support of our important mission to support current and future nuclear deterrent, security and threat reduction programmes, we have new opportunities available in the following disciplines: High Performance Computing - Applied Computer Science : An opportunity to provide computer science support, through development and deployment of software techniques and solutions, to enable exploitation of some of the world's most powerful supercomputers High Performance Computing - Visualisation and Data Science : A unique opportunity to develop scientific visualisation capabilities for unusual datasets and/ or develop Data Science Techniques Computational Physics : Develop large-scale, highly parallel applications to solve physics problems, modernising and improving the efficiency, performance and robustness of these applications, providing direct user support and developing new and novel algorithms to solve physics problems of interest Whilst not to be considered a checklist, we are interested in hearing from candidates who can demonstrate knowledge or experience in several of the following areas: A degree in Computer Science, Mathematics, or other numerate discipline; equivalent NQF level 6 qualification or equivalent experience Experience of working in Unix/ Linux environment Experience of developing large scale, highly parallel codes through mechanisms such as MPI, OpenMP or Cuda Familiarity with C, C++, Fortran or similar high-level language Knowledge and understanding of HPC computer architectures (CPU, GPU, caches, memory) and developing software on them Strong scripting skills (preferably Python and/ or Bash) and a willingness to improve them Knowledge of good software development practices including the use of tools to support this purpose Optimisation and the running of large scientific calculations Software testing experience Knowledge of Visualisation, Computer Graphics or Data Science techniques Familiarity with Object orientated technology Familiarity with VisIt, ParaView, EnSight, IDL, VTK or similar visualisation packages Methodical approach to problem solving with strong abilities to draw together and interpret data from a variety of sources to reach a conclusion Able to work independently and unsupervised, as well as within a team to achieve common goals Flexible, self-motivated and the ability to handle multiple tasks Able to provide technical input within own field of expertise that can influence project, team or end user Strong communication skills verbal and written Candidates must be willing and able to obtain and maintain the necessary security clearance for the role.
22/09/2022
Full time
High Performance Computing (HPC) Scientific Software Developers The AWE Physics function are currently looking for a wide range of candidates, with a broad range of skills, at various stages of their careers, to work alongside likeminded software developers and scientists. AWE offers a diverse and unique scientific computing platform on a scale that only a handful of sites across the UK offer. It utilises multiple small development and large HPC platforms with novel architectures that are routinely used for code porting and research related activities. Location : Reading/ Basingstoke area (On site working) Salary (All salaries are dependent on your suitability and level of experience) : Junior Scientific Software Developer: £26,500 - £32,000 per annum Experienced Scientific Software Developer: £33,000 - £45,000 per annum Senior Scientific Software Developer: £46,000 - £60,000 per annum AWE (one of the best 25 big companies to work for in the UK) offers an attractive array of benefits which include: Market leading contributory pension scheme Generous holiday entitlement (270 hours a year, including Bank Holidays, plus every other Friday off) Flexible working hours Salary sacrifice scheme Consideration for either full time or part time hours. Just let us know on your application if you wish to work part time Relocation package available (terms and conditions apply) In support of our important mission to support current and future nuclear deterrent, security and threat reduction programmes, we have new opportunities available in the following disciplines: High Performance Computing - Applied Computer Science : An opportunity to provide computer science support, through development and deployment of software techniques and solutions, to enable exploitation of some of the world's most powerful supercomputers High Performance Computing - Visualisation and Data Science : A unique opportunity to develop scientific visualisation capabilities for unusual datasets and/ or develop Data Science Techniques Computational Physics : Develop large-scale, highly parallel applications to solve physics problems, modernising and improving the efficiency, performance and robustness of these applications, providing direct user support and developing new and novel algorithms to solve physics problems of interest Whilst not to be considered a checklist, we are interested in hearing from candidates who can demonstrate knowledge or experience in several of the following areas: A degree in Computer Science, Mathematics, or other numerate discipline; equivalent NQF level 6 qualification or equivalent experience Experience of working in Unix/ Linux environment Experience of developing large scale, highly parallel codes through mechanisms such as MPI, OpenMP or Cuda Familiarity with C, C++, Fortran or similar high-level language Knowledge and understanding of HPC computer architectures (CPU, GPU, caches, memory) and developing software on them Strong scripting skills (preferably Python and/ or Bash) and a willingness to improve them Knowledge of good software development practices including the use of tools to support this purpose Optimisation and the running of large scientific calculations Software testing experience Knowledge of Visualisation, Computer Graphics or Data Science techniques Familiarity with Object orientated technology Familiarity with VisIt, ParaView, EnSight, IDL, VTK or similar visualisation packages Methodical approach to problem solving with strong abilities to draw together and interpret data from a variety of sources to reach a conclusion Able to work independently and unsupervised, as well as within a team to achieve common goals Flexible, self-motivated and the ability to handle multiple tasks Able to provide technical input within own field of expertise that can influence project, team or end user Strong communication skills verbal and written Candidates must be willing and able to obtain and maintain the necessary security clearance for the role.
Site Name: UK - London Posted Date: Sep Why GSK? At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader inConsumer Health, strengthening our leadership, and transforming our commercial execution. Now, we're making the biggestchanges we've made to our business in over 20 years.We're on track to separate and create two new companies in 2022:New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and geneticsscience; and a new world-leading consumer healthcare company of loved and trusted brands. With new ambition comes new purpose. For New GSK, this is to unite science, talent and technology to get ahead of diseasetogether - all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; andas a new GSK where outstanding people thrive. Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culturethat isambitious for patients- so we deliver what matters better and faster;accountable for impact- with clear ownership ofgoals and support to succeed; andwhere we do the right thing. So, if you're ready to improve the lives of billions, join us at thisexciting moment in our journey. Join our challenge to get Ahead Together. Job title: Senior full-stack software engineer Overview At GSK, we are actively working on building a future in which Artificial Intelligence (AI) and Machine Learning (ML) will enable us to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. It is an ambitious goal that requires the research and development of solutions at the cutting edge of biomedical Machine Learning and AI. Job purpose: We're looking for a Senior Full-Stack Engineer to join our cross-functional AI/ML UX Engineering team. Our team works at the intersection of AI/ML and science and is responsible for building user-facing products that GSK scientists use in their day-to-day work to accelerate drug discovery. We're a fairly new team of product engineers within the AI/ML group, have already made a significant impact, and are seeking a product-focused senior engineer to help us scale. Your Responsibilities: Help build the web applications that our scientists use day-to-day to discover new drugs through AI/ML insights. Work with our cross-functional team (engineers, designers, product managers, user researchers) to define and deliver features in an iterative manner. Own solutions end-to-end from initial planning through to production. Write maintainable and testable front-end code using React and Typescript. Design and implement efficient backend APIs (GraphQL, REST) that can scale to large amount of data. Contribute to the design of the architecture and infrastructure of our UX products to supports the growing need and impact of user-facing apps in the AI/ML group. Help our team continuously improve our tech stack and processes by actively participating in our innovation days and retrospectives. Help other engineers grow through code reviews and mentoring or pairing. Our team works remotely in the UK and Ireland with occasional face-to-face meetups at our offices in the budding tech hub of Kings Cross, London. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Good experience as a software engineer. You have a proven track record of developing production-ready full-stack web applications and supporting them after release. You're product- and user-focused. You love working in cross-functional teams and bringing your technical expertise to discussions with non-technical stakeholders to help define better user experiences. You have deep expertise in React or another modern front-end framework. You have a solid understanding of the security and privacy challenges of web applications and backend APIs. You have demonstrable experience of addressing them effectively. You have a solid understanding of different types of data stores (e.g. relational, document-oriented, KV and graph databases, blob storage). You have experience of data modelling and using the right data store for the job. Preferred Qualifications: If you have the following skills, it would be a plus: You have experience working with data visualisation libraries for the web and solving challenging data visualisation problems (creating custom visualisations, rendering very large data sets). You have strong communication skills, you listen well and you show great empathy for users and other team members. You're able to explain complex concepts clearly and effectively to both technical and non-technical stakeholders. You enjoy mentoring colleagues and seeing them grow. You love working with your team to iterate on their processes, coding standards, and tech stack. You have a growth mindset and strive for continuous improvement. A working knowledge of Python would be a plus but is not required for this role. While we don't use Python in our team, the language is widely used by our AI/ML engineers. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
21/09/2022
Full time
Site Name: UK - London Posted Date: Sep Why GSK? At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader inConsumer Health, strengthening our leadership, and transforming our commercial execution. Now, we're making the biggestchanges we've made to our business in over 20 years.We're on track to separate and create two new companies in 2022:New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and geneticsscience; and a new world-leading consumer healthcare company of loved and trusted brands. With new ambition comes new purpose. For New GSK, this is to unite science, talent and technology to get ahead of diseasetogether - all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; andas a new GSK where outstanding people thrive. Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culturethat isambitious for patients- so we deliver what matters better and faster;accountable for impact- with clear ownership ofgoals and support to succeed; andwhere we do the right thing. So, if you're ready to improve the lives of billions, join us at thisexciting moment in our journey. Join our challenge to get Ahead Together. Job title: Senior full-stack software engineer Overview At GSK, we are actively working on building a future in which Artificial Intelligence (AI) and Machine Learning (ML) will enable us to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. It is an ambitious goal that requires the research and development of solutions at the cutting edge of biomedical Machine Learning and AI. Job purpose: We're looking for a Senior Full-Stack Engineer to join our cross-functional AI/ML UX Engineering team. Our team works at the intersection of AI/ML and science and is responsible for building user-facing products that GSK scientists use in their day-to-day work to accelerate drug discovery. We're a fairly new team of product engineers within the AI/ML group, have already made a significant impact, and are seeking a product-focused senior engineer to help us scale. Your Responsibilities: Help build the web applications that our scientists use day-to-day to discover new drugs through AI/ML insights. Work with our cross-functional team (engineers, designers, product managers, user researchers) to define and deliver features in an iterative manner. Own solutions end-to-end from initial planning through to production. Write maintainable and testable front-end code using React and Typescript. Design and implement efficient backend APIs (GraphQL, REST) that can scale to large amount of data. Contribute to the design of the architecture and infrastructure of our UX products to supports the growing need and impact of user-facing apps in the AI/ML group. Help our team continuously improve our tech stack and processes by actively participating in our innovation days and retrospectives. Help other engineers grow through code reviews and mentoring or pairing. Our team works remotely in the UK and Ireland with occasional face-to-face meetups at our offices in the budding tech hub of Kings Cross, London. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Good experience as a software engineer. You have a proven track record of developing production-ready full-stack web applications and supporting them after release. You're product- and user-focused. You love working in cross-functional teams and bringing your technical expertise to discussions with non-technical stakeholders to help define better user experiences. You have deep expertise in React or another modern front-end framework. You have a solid understanding of the security and privacy challenges of web applications and backend APIs. You have demonstrable experience of addressing them effectively. You have a solid understanding of different types of data stores (e.g. relational, document-oriented, KV and graph databases, blob storage). You have experience of data modelling and using the right data store for the job. Preferred Qualifications: If you have the following skills, it would be a plus: You have experience working with data visualisation libraries for the web and solving challenging data visualisation problems (creating custom visualisations, rendering very large data sets). You have strong communication skills, you listen well and you show great empathy for users and other team members. You're able to explain complex concepts clearly and effectively to both technical and non-technical stakeholders. You enjoy mentoring colleagues and seeing them grow. You love working with your team to iterate on their processes, coding standards, and tech stack. You have a growth mindset and strive for continuous improvement. A working knowledge of Python would be a plus but is not required for this role. While we don't use Python in our team, the language is widely used by our AI/ML engineers. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - Pennsylvania - Philadelphia Posted Date: Oct Over the last 18 months, we've seen how critical the healthcare industry is to society.If you would love to be part of making a difference,thenconsider joining us and applying for our Data Science Engineer II opportunity. You would be supportingnew GSK's purpose of uniting science, talent, and technology to get ahead of disease together. Our purpose is to develop tools, models, and processes to enable scientists to create preventative products such as vaccines or discover ways to treat illnesses such as therapeutics. We also support the equally important development of robust and efficient manufacturing of such products. Examples of specific areas of interest includedelivering end-to-end biomarker data pipelines; deliveringintegrateddata analytics environmentsto aid scientists in target identificationor models that drive more efficient cell line development. We area teamwith an ambition to beat the cutting edge of thepharmaceutical industry datascience and engineering. So,as anR&Ddepartment with a passion forusingdata to solve problemsand improve patient care, why wouldn't you consider working forus? Our organization is built on the principles of ownership, accountability, continuous development, and collaboration. Our leaders are committed to your career and development from day one. You will be working in a stimulating and supportive environment as part of a dynamic, growing community. You will have access to our Learning & Development resources, comprising a blend of on-the-job learning with targeted coaching, peer-to-peer mentoring, expert-led workshops, and a network of learning providers. The Team? The Data Science and Visualisation team (DSV) is an experienced team of data scientists and software engineers that focuses on the creation and deployment of leading-edge, reusable data science microservices and products. This might be the creation of genetic and genomic datascience products, changing the decisioncycle time for our biopharmaceuticals, or accelerating assets in clinical trials through smart site selection and forecasting. The ease of use and interpretation in the hands of the scientist is very important to us, hence the emphasis upon not just the data science but the visualization. The Role? The Data Science Engineer II is a hands-on position where you will be empowered to be creative, ambitious, and bold. Given a defined business or scientific objective, you will apply machine learning to the relevant data to iterate over model choices metrics to produce high-quality predictive models. The data science engineer will accomplish this by writing fantastic code along with the proper unit, functional, and integration tests for code to ensure quality. Key Deliverables As a Data Science Engineer II, you will: Evaluate and explore the data for the intended task and will be able to design and create models that perform to requirements and specifications. Ship ML models into production and understand how a model's requirements or the available data might change over time and design an ML product that will be able to cope with these requirements. Evaluate other options if the machine learning problem fails, the engineer should be able to try other architecture features, featurization techniques, cost functions, etc., in a way that will reliably improve the performance metrics for that model. Compare results from various methodologies and recommend the best techniques to stakeholders and be able to defend and explain the rationale to stakeholders. Connect and collaborate with subject matter experts in biology, chemistry, and medicine and offer, challenge, and solicit advice via peer review to enhance quality, share best practices and embed innovation. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: BS Degree (Mathematics or Engineering, Data Science/ML, Statistics, Computer Science, Physics, Computational Biology, Computational Chemistry,) with 4+ years of experience (or MS with 2+ years of experience, or PhD) in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Experience designing, developing, and implementing analytical solutions using a variety of commercial and open-source tools (deep experience using common tools like Python and/or R would be required) Experience comparing results from various methodologies then explaining the technical concepts at all levels in the organization, including senior managers/stakeholders Experience creating algorithms to extract information from large, multiparametric data sets and deploy them into production to realize significant value Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience in the development of interpretable machine learning to production using a programming language such as Python or R Experience in manipulating data in a big data environment - experience with hive, SQL, and the like would be helpful Experience in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve. GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
21/09/2022
Full time
Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - Pennsylvania - Philadelphia Posted Date: Oct Over the last 18 months, we've seen how critical the healthcare industry is to society.If you would love to be part of making a difference,thenconsider joining us and applying for our Data Science Engineer II opportunity. You would be supportingnew GSK's purpose of uniting science, talent, and technology to get ahead of disease together. Our purpose is to develop tools, models, and processes to enable scientists to create preventative products such as vaccines or discover ways to treat illnesses such as therapeutics. We also support the equally important development of robust and efficient manufacturing of such products. Examples of specific areas of interest includedelivering end-to-end biomarker data pipelines; deliveringintegrateddata analytics environmentsto aid scientists in target identificationor models that drive more efficient cell line development. We area teamwith an ambition to beat the cutting edge of thepharmaceutical industry datascience and engineering. So,as anR&Ddepartment with a passion forusingdata to solve problemsand improve patient care, why wouldn't you consider working forus? Our organization is built on the principles of ownership, accountability, continuous development, and collaboration. Our leaders are committed to your career and development from day one. You will be working in a stimulating and supportive environment as part of a dynamic, growing community. You will have access to our Learning & Development resources, comprising a blend of on-the-job learning with targeted coaching, peer-to-peer mentoring, expert-led workshops, and a network of learning providers. The Team? The Data Science and Visualisation team (DSV) is an experienced team of data scientists and software engineers that focuses on the creation and deployment of leading-edge, reusable data science microservices and products. This might be the creation of genetic and genomic datascience products, changing the decisioncycle time for our biopharmaceuticals, or accelerating assets in clinical trials through smart site selection and forecasting. The ease of use and interpretation in the hands of the scientist is very important to us, hence the emphasis upon not just the data science but the visualization. The Role? The Data Science Engineer II is a hands-on position where you will be empowered to be creative, ambitious, and bold. Given a defined business or scientific objective, you will apply machine learning to the relevant data to iterate over model choices metrics to produce high-quality predictive models. The data science engineer will accomplish this by writing fantastic code along with the proper unit, functional, and integration tests for code to ensure quality. Key Deliverables As a Data Science Engineer II, you will: Evaluate and explore the data for the intended task and will be able to design and create models that perform to requirements and specifications. Ship ML models into production and understand how a model's requirements or the available data might change over time and design an ML product that will be able to cope with these requirements. Evaluate other options if the machine learning problem fails, the engineer should be able to try other architecture features, featurization techniques, cost functions, etc., in a way that will reliably improve the performance metrics for that model. Compare results from various methodologies and recommend the best techniques to stakeholders and be able to defend and explain the rationale to stakeholders. Connect and collaborate with subject matter experts in biology, chemistry, and medicine and offer, challenge, and solicit advice via peer review to enhance quality, share best practices and embed innovation. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: BS Degree (Mathematics or Engineering, Data Science/ML, Statistics, Computer Science, Physics, Computational Biology, Computational Chemistry,) with 4+ years of experience (or MS with 2+ years of experience, or PhD) in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Experience designing, developing, and implementing analytical solutions using a variety of commercial and open-source tools (deep experience using common tools like Python and/or R would be required) Experience comparing results from various methodologies then explaining the technical concepts at all levels in the organization, including senior managers/stakeholders Experience creating algorithms to extract information from large, multiparametric data sets and deploy them into production to realize significant value Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience in the development of interpretable machine learning to production using a programming language such as Python or R Experience in manipulating data in a big data environment - experience with hive, SQL, and the like would be helpful Experience in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve. GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Site Name: UK - Kings Cross - London, Switzerland - Zug, UK - Hertfordshire - Stevenage Posted Date: Jun AI/ML Engineer - Biomedical AI At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. To help us make this future a reality, we are looking for Artificial Intelligence and Machine Learning Engineers that have a track record in developing and validating state-of-the-art machine learning models for solving challenging real-world scientific problems. AI/ML Engineers at GSK are outstanding scientists and engineers with in-depth knowledge in modern machine learning and a keen interest in making a positive impact in healthcare. To strengthen our team in Europe, we are looking for skilledAI/ML Engineersthat will drive the development of state-of-the-art biomedical AI algorithms. This role will be focused on researching, designing, implementing, and delivering cutting-edge prediction models across a range of challenging biomedical tasks using state-of-the-art high performance computing facilities and the vast and detailed biomedical data sources available at GSK. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. You will: Design and implement AI/ML-driven solutions along the entire model development life cycle. Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks. Deliver robust, tested and performant code in an agile environment. Liaise with experts in biology, medicine and experimentation to ensure optimal collection of data to train biomedical machine learning models. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelor's, Masters or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions. Experience in at least one major deep learning framework (PyTorch, TensorFlow). Experience with machine learning literature and state-of-the-art modelling approaches. Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Preferred Qualifications If you have the following characteristics, it would be a plus: Background or interest in biology or medicine is a plus but not required. Fluency in English. Knowledge of German is not required for this position. Experience in design, development and deployment of commercial AI/ML software. Contributions to relevant open-source projects. Relevant scientific publications in AI/ML (NeurIPS, ICML, ICLR, AAAI, among others), computational biology or bioinformatics venues. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images) LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
21/09/2022
Full time
Site Name: UK - Kings Cross - London, Switzerland - Zug, UK - Hertfordshire - Stevenage Posted Date: Jun AI/ML Engineer - Biomedical AI At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. To help us make this future a reality, we are looking for Artificial Intelligence and Machine Learning Engineers that have a track record in developing and validating state-of-the-art machine learning models for solving challenging real-world scientific problems. AI/ML Engineers at GSK are outstanding scientists and engineers with in-depth knowledge in modern machine learning and a keen interest in making a positive impact in healthcare. To strengthen our team in Europe, we are looking for skilledAI/ML Engineersthat will drive the development of state-of-the-art biomedical AI algorithms. This role will be focused on researching, designing, implementing, and delivering cutting-edge prediction models across a range of challenging biomedical tasks using state-of-the-art high performance computing facilities and the vast and detailed biomedical data sources available at GSK. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. You will: Design and implement AI/ML-driven solutions along the entire model development life cycle. Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks. Deliver robust, tested and performant code in an agile environment. Liaise with experts in biology, medicine and experimentation to ensure optimal collection of data to train biomedical machine learning models. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelor's, Masters or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions. Experience in at least one major deep learning framework (PyTorch, TensorFlow). Experience with machine learning literature and state-of-the-art modelling approaches. Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Preferred Qualifications If you have the following characteristics, it would be a plus: Background or interest in biology or medicine is a plus but not required. Fluency in English. Knowledge of German is not required for this position. Experience in design, development and deployment of commercial AI/ML software. Contributions to relevant open-source projects. Relevant scientific publications in AI/ML (NeurIPS, ICML, ICLR, AAAI, among others), computational biology or bioinformatics venues. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images) LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
04/11/2021
Full time
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
04/11/2021
Full time
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
04/11/2021
Full time
Ofcom is the regulator for the communications services that we depend upon in the modern world. We make sure people get the best from broadband, telephone and mobile services. We oversee the universal postal service and manage the radio-spectrum used by wireless devices and have regulatory powers over TV and radio. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide insights to inform policy decisions. In addition to existing responsibilities, there are opportunities to contribute to our new duties relating to the regulation of Online Harms. This new area of work will expand the scope of data-driven activities in terms of the variety and volume of data, as well as the range of analysis we do. Purpose of the Role You will architect, design, implement and oversee the operations of data solutions that empower data professionals. What you are expected to deliver in this role You will have critical thinking and relevant skills and experience for enabling the transformation of data to create solutions that add value to business requirements. You will have a deep understanding of the full data lifecycle and the role that data plays across applications, machine learning, business analytics, and reporting. You will identify and evaluate alternative architectures to meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions. You will support our on-going development activities and continually promote data innovation to achieve the business outcomes. You will be a self-motivated and effective communicator and inform and influence senior managers. Understand motivations behind projects and own technical activities to translate business requirements into a business value solution. Take an iterative approach that responds to feedback and changing needs. Perform deep dives to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will ensure that the solutions you help deliver forms an integral part of the ICT estate; aligned with the wider architecture. Provide documentation of solutions detailing the business, data, application and technology layers. With colleagues, define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills and Knowledge Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF. Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services. Experience of working closely with Data Scientists/Analysts) to understanding their needs. Experience of implementation of statistical, AI, Machine Learning and Deep learning applications. Experience with integrations (e.g., via APIs) with external vendors to share data between organizations. Experience of building and maintaining good working relationships with colleagues at all levels of an organization. Experience of working with external technology supplier and service providers to deliver business solutions.
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
04/11/2021
Full time
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
04/11/2021
Full time
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
04/11/2021
Full time
Team Overview Data is central to Ofcom's work. We use data from a wide range of sources to understand the dynamics of the sectors we regulate and to provide key insights to inform policy decisions. In addition to existing regulatory responsibilities, there will be exciting opportunities to contribute to Ofcom's new duties in relation to the regulation of Online Harms. It is expected that this new area of work will expand the scope of data-driven activities at Ofcom in terms of the variety and volume of data, as well as the range of analysis we do. To ensure that Ofcom has the appropriate data capabilities to undertake the analysis effectively, ICT has created a new role for an Data Solutions Architect Purpose of the Role The Data Solutions Architect works closely with ICT and the Data Innovation Hub. You will architect, design, implement and oversee the operations of data solutions that empower data professionals to efficiently and effectively deliver their work. Candidates will exhibit critical thinking skills, the ability to synthesize complex problems, and have relevant skills and experience for enabling the transformation of data to create solutions that add value to a myriad of business requirements. You must have a deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. You will lead the design and development of solution architectures in response to business requirements. This includes identifying and evaluating alternative architectures, their trade-offs in cost, performance and scalability. And ensuring that the relevant technical strategies, policies, standards and practices (including security) are applied correctly. The end to end solution will be fit for purpose - i.e. meet the needs of business, the agreed requirements, and support the strategic direction of Ofcom. Work with IT teams, business analysts and data analytics teams to understand data consumers' needs and develop solutions By maintaining your knowledge of emerging trends in data usage, tools and analysis techniques you will support our on-going development activities and continually promote data innovation as a means to achieve the business outcomes for specific Groups, and Ofcom. You will need to be self-motivated, an effective communicator and have a collaborative delivery approach.You will work in a collaborative cross-functional environment and interact with the full spectrum of colleagues (data engineers, data analysts, data scientists, operational support and policy makers), and you will need to inform and influence senior managers. Requirements of the Role Build strong relationships with colleagues across the business, understanding their motivations behind projects and own technical activities to translate business requirements (both functional and non-functional) into a solution. Ensuring the required business value is delivered. Fostering a customer centric approach to ensure delivery of business value and an iterative approach that responds to feedback and changing needs. Perform deep dives into technical areas to solve a specific solution or design challenges. Using trials or POCs to prove or discount an approach, to critic your own design. You will be responsible for ensuring that the solutions you help deliver form an integral part of the ICT estate and align with the wider reference architecture and domain roadmaps. Manage stakeholder expectations and be flexible, working on many different projects and topics at the same time period. Manage proactive and reactive communication. Facilitate difficult discussions within the team or with diverse senior stakeholders and external / 3rd parties as necessary. Provide documentation of solutions detailing the business, data, application and technology layers. Work with Data Engineers to define data pipelines and data lakes, covering the ingression, ETL or ELT, and the cataloguing of data. Takes overall responsibility for planning effective data storage, cost, security, quality, sharing, availability, retention and publishing within the organisation. Develops analytics policy, standards and guidelines Ensuring successful transitions for solutions into production ensuring production support have the necessary knowledge and documentation to support the service. Skills, knowledge and experience Robust Data and Technical/Solutions Architecture skills - sets direction for and possesses a deep understanding of architecture and strategies which integrate with industry trends e.g. TOGAF Hands-on experience with analytical tools and languages such as: Python, R, SQL, Azure Data Factory (and SSIS), Databricks, Power BI, Git etc. Experience of infrastructure: cloud-based technologies used for storage, data lakes, data warehouses, data streaming, Databases, ETL / ELT / Transformation. Experience of DevOps/ DataOps methods in development of data solutions to ensure pipelines and processes can be automated and controlled. Experience with Cloud based data and analytical initiatives utilising Azure, AWS, Google Cloud or similar cloud services Experience of working closely with Data Professionals (E.g. Data Scientists and Data Analysts) to understanding their needs. Experience of implementating of statistical, Artificial Intelligence, Machine Learning and Deep learning applications. Experience with integrations (e.g. via APIs) with external vendors to share data between organizations Experience of working with external technology supplier and service providers to deliver business solutions SFIA Skill Enterprise and business architecture STPL - Level 5 Solution architecture ARCH - Level 5 Requirements definition and management REQM- Level 5 Database design DBDS- Level 5 Analytics INAN- Level 4 Emerging Technology Monitoring (EMRG)- Level 4 Relationship Management RLMT- Level 5
About the organization: Discovery Direct-to-Consumer is the technology arm of Discovery Inc. We work at the crossroads of technology, entertainment, and everyday utility, continuously leveraging technology to create immersive viewing and interactive experiences. We are building a global streaming video platform and a suite of applications to support all our global Discovery owned brands. These include Discovery+, Food Network Kitchen, Magnolia, GolfTV, MotorTrend on Demand, Eurosport Player, and many more. We build experiences ranging from traditional video streaming, to highly interactive and immersive applications. We build across connected TV, web, mobile and consoles, and are fast, nimble and have fun building world-class products for our iconic brands. About the team: You'll join the Discovery DTC Engineering team - we build applications across both frontend platforms and backend services while always maintaining a commitment to operational excellence. Our responsibilities include building world-class apps for our fans and subscribers, building the piping that gets the content to the customer experience, creating and enhancing a suite of applications that power our largest websites, providing the full stack experience for our customers, and more. In terms of languages, we speak a little bit of everything - Swift 5/Swift UI, Kotlin, Java, TypeScript, Javascript, Ruby, Vue.js, React, Brightscript, GraphQL on AWS container-based and serverless stacks. We try to expose early career engineers to a wide range of projects, to help them get a sense for where their interests lie. We then pair them with a range of senior engineers so that they can learn from a mix of experiences. Attributes we look for in all our hires across the team are ownership and leadership. Proactively taking ownership, having a bias for action, curious and always asking why. Why Intern at Discovery: In addition to building great products and creating some of the best content in the world, we've built a great team and culture! Our program offers unique experiences, with tremendous opportunities for growth. Everyone is passionate about the work we do, and it's energizing to work on something you authentically care about. Our engineers are some of the most talented in the industry and are excited to mentor and learn from our interns. You'll have the opportunity to help deliver customer facing, impactful projects and test your theories on the newest technologies and methodologies, while learning from the seasoned pros. Key Features of the Program: 1:1 Mentorship: You'll be assigned a mentor for the duration of the program to ensure you get off to a flying start and continue to meet your development goals throughout. Tech Speaker Series: You'll frequently learn about new technologies and trends and meet and learn from some of the most talented technologists in the industry, both internal and external to Discovery. Career Coaching: You'll receive tailored career advice and guidance from experienced data experts, and leaders who have been where you are, and will share how they have successfully navigated their careers. Global Exposure: Most of our teams and products have global impact, meaning often our interns are working on projects that impact multiple markets. This provides you with unique insight into solving problems at scale, the nuances between markets and how we leverage technology to provide seamless and consistent quality across our customer experience globally. Global Network: By the end of the program you'll have built a global network of talented Engineers, Product Managers, Data Scientists and Analysts, Product Designer, Marketeers and business leaders. You'll also have an extensive network for peers with whom you will have built great relationships! It's a small industry and the network you build and the impression you make during the program will be invaluable throughout your career. Long-term Career Prospects: While this is a summer internship, we see this as the start of a long-term relationship. Many of our current employees are prior interns and for developers early in their career Discovery DTC offers unparalleled opportunities. From working on unique and exciting projects, to having global impact and gaining international experience. We've also built a fantastic culture that is truly diverse and inclusive, reflected in creativity and innovation across our products and features. And of course, you'll work with our talented team; our engineers are among the best in the industry and are excited to mentor and develop the next generation of tech talent! What you need to know about the DTC Summer 2022 Program Application Process: Our Summer 2022 internship program is 12 weeks long, commencing July 4- September 23. Our internships are paid opportunities. Credit is not required; however, we will provide documentation if necessary. The application deadline is January 1, 2022. After this date, we cannot guarantee your application will be reviewed for the position. We do not require a cover letter. Please demonstrate your passion for the position through your resume. We are interviewing through early 2022. A Discovery Intern team member will contact you if your experiences and interests match an open internship position. Due to the high volume of applications, we are unable to give individual status updates. Responsibilities About the projects you may work on: Projects may include building APIs, SVOD streaming applications, commerce integrations, designing products to prioritize security, developing and improving payment services, and more. You'll get an opportunity to think about scale, resiliency, and how to make your features production ready. We try to expose early career engineers to a wide range of projects, to help them get a sense for where their interests lie. We then pair them with a range of senior engineers so that they can learn from a mix of experiences. Previous interns have started making improvements to our production environments within the first two weeks of joining the team. Ultimately, the projects you'll work on will depend on your areas of interest. Qualifications In addition to academic qualifications, we're looking for interns who are always curious and have a desire to learn. You'll need to have great attention to detail, but with a great sense of agility and scope. We look for engineers who are meticulous about operational and engineering excellence and take pride in understanding and owning features from design, through to code, testing, and production, while building in logging and testing throughout the journey. Balance is important to us; we work hard but think it's also important to have a good sense of humor and have fun while doing great work! * Must currently be enrolled as a student (proof of enrollment will be required if selected for an internship). * Must be second year or higher. * Need to be on track to receive a 2:1 or above. * Must have the legal right to work in the United Kingdom.
04/11/2021
Full time
About the organization: Discovery Direct-to-Consumer is the technology arm of Discovery Inc. We work at the crossroads of technology, entertainment, and everyday utility, continuously leveraging technology to create immersive viewing and interactive experiences. We are building a global streaming video platform and a suite of applications to support all our global Discovery owned brands. These include Discovery+, Food Network Kitchen, Magnolia, GolfTV, MotorTrend on Demand, Eurosport Player, and many more. We build experiences ranging from traditional video streaming, to highly interactive and immersive applications. We build across connected TV, web, mobile and consoles, and are fast, nimble and have fun building world-class products for our iconic brands. About the team: You'll join the Discovery DTC Engineering team - we build applications across both frontend platforms and backend services while always maintaining a commitment to operational excellence. Our responsibilities include building world-class apps for our fans and subscribers, building the piping that gets the content to the customer experience, creating and enhancing a suite of applications that power our largest websites, providing the full stack experience for our customers, and more. In terms of languages, we speak a little bit of everything - Swift 5/Swift UI, Kotlin, Java, TypeScript, Javascript, Ruby, Vue.js, React, Brightscript, GraphQL on AWS container-based and serverless stacks. We try to expose early career engineers to a wide range of projects, to help them get a sense for where their interests lie. We then pair them with a range of senior engineers so that they can learn from a mix of experiences. Attributes we look for in all our hires across the team are ownership and leadership. Proactively taking ownership, having a bias for action, curious and always asking why. Why Intern at Discovery: In addition to building great products and creating some of the best content in the world, we've built a great team and culture! Our program offers unique experiences, with tremendous opportunities for growth. Everyone is passionate about the work we do, and it's energizing to work on something you authentically care about. Our engineers are some of the most talented in the industry and are excited to mentor and learn from our interns. You'll have the opportunity to help deliver customer facing, impactful projects and test your theories on the newest technologies and methodologies, while learning from the seasoned pros. Key Features of the Program: 1:1 Mentorship: You'll be assigned a mentor for the duration of the program to ensure you get off to a flying start and continue to meet your development goals throughout. Tech Speaker Series: You'll frequently learn about new technologies and trends and meet and learn from some of the most talented technologists in the industry, both internal and external to Discovery. Career Coaching: You'll receive tailored career advice and guidance from experienced data experts, and leaders who have been where you are, and will share how they have successfully navigated their careers. Global Exposure: Most of our teams and products have global impact, meaning often our interns are working on projects that impact multiple markets. This provides you with unique insight into solving problems at scale, the nuances between markets and how we leverage technology to provide seamless and consistent quality across our customer experience globally. Global Network: By the end of the program you'll have built a global network of talented Engineers, Product Managers, Data Scientists and Analysts, Product Designer, Marketeers and business leaders. You'll also have an extensive network for peers with whom you will have built great relationships! It's a small industry and the network you build and the impression you make during the program will be invaluable throughout your career. Long-term Career Prospects: While this is a summer internship, we see this as the start of a long-term relationship. Many of our current employees are prior interns and for developers early in their career Discovery DTC offers unparalleled opportunities. From working on unique and exciting projects, to having global impact and gaining international experience. We've also built a fantastic culture that is truly diverse and inclusive, reflected in creativity and innovation across our products and features. And of course, you'll work with our talented team; our engineers are among the best in the industry and are excited to mentor and develop the next generation of tech talent! What you need to know about the DTC Summer 2022 Program Application Process: Our Summer 2022 internship program is 12 weeks long, commencing July 4- September 23. Our internships are paid opportunities. Credit is not required; however, we will provide documentation if necessary. The application deadline is January 1, 2022. After this date, we cannot guarantee your application will be reviewed for the position. We do not require a cover letter. Please demonstrate your passion for the position through your resume. We are interviewing through early 2022. A Discovery Intern team member will contact you if your experiences and interests match an open internship position. Due to the high volume of applications, we are unable to give individual status updates. Responsibilities About the projects you may work on: Projects may include building APIs, SVOD streaming applications, commerce integrations, designing products to prioritize security, developing and improving payment services, and more. You'll get an opportunity to think about scale, resiliency, and how to make your features production ready. We try to expose early career engineers to a wide range of projects, to help them get a sense for where their interests lie. We then pair them with a range of senior engineers so that they can learn from a mix of experiences. Previous interns have started making improvements to our production environments within the first two weeks of joining the team. Ultimately, the projects you'll work on will depend on your areas of interest. Qualifications In addition to academic qualifications, we're looking for interns who are always curious and have a desire to learn. You'll need to have great attention to detail, but with a great sense of agility and scope. We look for engineers who are meticulous about operational and engineering excellence and take pride in understanding and owning features from design, through to code, testing, and production, while building in logging and testing throughout the journey. Balance is important to us; we work hard but think it's also important to have a good sense of humor and have fun while doing great work! * Must currently be enrolled as a student (proof of enrollment will be required if selected for an internship). * Must be second year or higher. * Need to be on track to receive a 2:1 or above. * Must have the legal right to work in the United Kingdom.
Data Scientist - Cambridge - up to 60K DOE +Benefits An incredibly successful business are looking to recruit a Senior Data Scientist to their growing team. This unique organisation has developed a world leading cloud based AI platform that is revolutionising the way companies connect with skilled professionals. You will be working in a passionate and exciting environment alongside other Data scientists and will be analysing/building an AI driven platform and developing their existing products. You will be working alongside developers and as a team will collaborate to produce world leading solutions. Necessary Skills: Experience analysing Data in Python Experienced in mathematical/statistical modelling Expertise in statistical analysis/bayesian statistics Familiar with Neural Networks or Computer Vision or Natual Language Processing Knowledge of AWS Cloud/Cloud Environments Bachelor's degree (Science, Maths, Computer science etc..) Highly Desirable: Experience with JavaScript (Node.JS) Commercial experience with AWS environment (Or GCP) 3+ years working as Data Scientist Masters or PHD in data orientated subject This is a rare opportunity to join a company at the top of their game. If you want to be considered immediately, please apply or send over your CV ASAP. Data Scientist - Cambridge - up to 60K DOE +Benefits For more information about Shift F5 and the opportunities we have to offer follow us on Shift F5 Ltd is acting as an Employment Agency in relation to this vacancy.
07/10/2021
Full time
Data Scientist - Cambridge - up to 60K DOE +Benefits An incredibly successful business are looking to recruit a Senior Data Scientist to their growing team. This unique organisation has developed a world leading cloud based AI platform that is revolutionising the way companies connect with skilled professionals. You will be working in a passionate and exciting environment alongside other Data scientists and will be analysing/building an AI driven platform and developing their existing products. You will be working alongside developers and as a team will collaborate to produce world leading solutions. Necessary Skills: Experience analysing Data in Python Experienced in mathematical/statistical modelling Expertise in statistical analysis/bayesian statistics Familiar with Neural Networks or Computer Vision or Natual Language Processing Knowledge of AWS Cloud/Cloud Environments Bachelor's degree (Science, Maths, Computer science etc..) Highly Desirable: Experience with JavaScript (Node.JS) Commercial experience with AWS environment (Or GCP) 3+ years working as Data Scientist Masters or PHD in data orientated subject This is a rare opportunity to join a company at the top of their game. If you want to be considered immediately, please apply or send over your CV ASAP. Data Scientist - Cambridge - up to 60K DOE +Benefits For more information about Shift F5 and the opportunities we have to offer follow us on Shift F5 Ltd is acting as an Employment Agency in relation to this vacancy.
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