Senior Actuarial Data Scientist (Contract) Location: Hybrid / London Contract Length: 6-12 months (potential for extension) We are hiring a Senior Actuarial Data Scientist to support a leading insurance client in leveraging AI & advanced analytics for pricing, underwriting, and claims optimization. This is an exciting opportunity to work at the intersection of actuarial science, machine learning, and data-driven decision-making in a dynamic, fast-paced environment. Key Responsibilities: Develop and implement predictive models for risk assessment, pricing, and reserving using AI/ML techniques Utilize actuarial methodologies and data science tools to enhance claims modeling & loss ratio predictions Work with large structured & unstructured datasets to derive actionable insights Collaborate with actuarial, underwriting, and data teams to integrate AI-driven solutions into business processes Support the development of automated data pipelines for real-time analytics Ensure models comply with regulatory requirements (e.g., Solvency II, IFRS 17) and best actuarial practices Key Skills & Experience: Qualified (FIA, CERA, ASA, etc.) OR strong actuarial background with data science expertise Python / R / SQL proficiency for modeling & data manipulation Experience with Machine Learning techniques (Gradient Boosting, Random Forests, Neural Networks, etc.) Expertise in insurance pricing, reserving, or claims analytics Strong understanding of data engineering principles and ability to work with cloud platforms (AWS, Azure, GCP) Knowledge of regulatory frameworks (Solvency II, IFRS 17, etc.) Excellent stakeholder management skills & ability to communicate complex data insights effectively. Apply with your CV or email me at
18/03/2025
Contractor
Senior Actuarial Data Scientist (Contract) Location: Hybrid / London Contract Length: 6-12 months (potential for extension) We are hiring a Senior Actuarial Data Scientist to support a leading insurance client in leveraging AI & advanced analytics for pricing, underwriting, and claims optimization. This is an exciting opportunity to work at the intersection of actuarial science, machine learning, and data-driven decision-making in a dynamic, fast-paced environment. Key Responsibilities: Develop and implement predictive models for risk assessment, pricing, and reserving using AI/ML techniques Utilize actuarial methodologies and data science tools to enhance claims modeling & loss ratio predictions Work with large structured & unstructured datasets to derive actionable insights Collaborate with actuarial, underwriting, and data teams to integrate AI-driven solutions into business processes Support the development of automated data pipelines for real-time analytics Ensure models comply with regulatory requirements (e.g., Solvency II, IFRS 17) and best actuarial practices Key Skills & Experience: Qualified (FIA, CERA, ASA, etc.) OR strong actuarial background with data science expertise Python / R / SQL proficiency for modeling & data manipulation Experience with Machine Learning techniques (Gradient Boosting, Random Forests, Neural Networks, etc.) Expertise in insurance pricing, reserving, or claims analytics Strong understanding of data engineering principles and ability to work with cloud platforms (AWS, Azure, GCP) Knowledge of regulatory frameworks (Solvency II, IFRS 17, etc.) Excellent stakeholder management skills & ability to communicate complex data insights effectively. Apply with your CV or email me at
A Charity in London are seeking a Lead Data Scientist to manage a team of Data Scientists and develop their Data Science Function. In this role you will lead on the data science function and identify, develop, and deploy a range of data science models, working closely with senior stakeholders across the business to ensure solutions address business needs. The role requires both hands-on data science work as well as experience leading and managing the work of the team. Responsibilities Work with senior stakeholders across all of the directorates to demonstrate the art of the possible and jointly identify impactful data science opportunities. Work closely with the Associate Head of Data Engineering to ensure the new data analytics platform and other tools are fit-for-purpose. Develop and deploy data science models. They currently have two main priority areas: They are developing and deploying a suite of propensity models to identify better cross-sell opportunities of their products. This will involve building the supervised machine learning models, identifying how we iteratively improve the data that the models require, and ensure that impacts are measurable, and that the system is deployed to iteratively improve over time. They are developing techniques using NLP and LLMs on their data to improve operational efficiency and derive better insights as to what their supporters are concerned about. Experience Significant experience in a data science role, including experience of managing more junior data scientists. Experience in thinking strategically about how to develop a data science function. Strong understanding of a range of analytics, data science, and machine learning techniques, and proven experience in deploying models in real-world situations. Extensive programming ability in Python and/or R and strong ability to use SQL, and experience with NLP, ML libraries and frameworks. Demonstrable experience of formulating, solving, and implementing analytical solutions to business problems.
17/03/2025
Full time
A Charity in London are seeking a Lead Data Scientist to manage a team of Data Scientists and develop their Data Science Function. In this role you will lead on the data science function and identify, develop, and deploy a range of data science models, working closely with senior stakeholders across the business to ensure solutions address business needs. The role requires both hands-on data science work as well as experience leading and managing the work of the team. Responsibilities Work with senior stakeholders across all of the directorates to demonstrate the art of the possible and jointly identify impactful data science opportunities. Work closely with the Associate Head of Data Engineering to ensure the new data analytics platform and other tools are fit-for-purpose. Develop and deploy data science models. They currently have two main priority areas: They are developing and deploying a suite of propensity models to identify better cross-sell opportunities of their products. This will involve building the supervised machine learning models, identifying how we iteratively improve the data that the models require, and ensure that impacts are measurable, and that the system is deployed to iteratively improve over time. They are developing techniques using NLP and LLMs on their data to improve operational efficiency and derive better insights as to what their supporters are concerned about. Experience Significant experience in a data science role, including experience of managing more junior data scientists. Experience in thinking strategically about how to develop a data science function. Strong understanding of a range of analytics, data science, and machine learning techniques, and proven experience in deploying models in real-world situations. Extensive programming ability in Python and/or R and strong ability to use SQL, and experience with NLP, ML libraries and frameworks. Demonstrable experience of formulating, solving, and implementing analytical solutions to business problems.
This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise. Job Responsibilities Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses. Sets the vision for manipulation and analyses of large and complex data sets. Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities. Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making . Builds out a world class data science team that is aligned to support to the business as key business function. Provides thought leadership to support the key technology initiatives. Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts. Basic Qualifications Master's degree and at least 6 years of experience in a quantitative or computational function. Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives. Previous experience contributing to financial decisions in the workplace. Previous direct leadership, indirect leadership and/or cross- functional team leadership. If this is the role for you, apply today
15/03/2025
Full time
This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise. Job Responsibilities Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses. Sets the vision for manipulation and analyses of large and complex data sets. Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities. Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making . Builds out a world class data science team that is aligned to support to the business as key business function. Provides thought leadership to support the key technology initiatives. Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts. Basic Qualifications Master's degree and at least 6 years of experience in a quantitative or computational function. Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives. Previous experience contributing to financial decisions in the workplace. Previous direct leadership, indirect leadership and/or cross- functional team leadership. If this is the role for you, apply today
Are you an experienced Data Scientist looking for a role leveraging GenAI tech? Have you honed your skills in machine learning and kept a close eye on the transformative potential of generative AI? Imagine a role where your expertise can drive significant change and help shape the future of an industry We are hiring for a Senior Data Scientist role with a focus on generative AI and recommender systems for a pioneering businesses in online search comparison. This is your chance to work on cutting-edge projects, collaborate with brilliant minds, and see your work directly impact millions of daily users worldwide. You'll be part of a team that's building a new online experience to inspire users with new ideas, leveraging technologies like GenAI and recommender systems to optimize image, video and text content and create a limprove the eading platform in their field. Technical Requirements: Interest in Generative AI and Recommender Systems : Proven experience in developing and implementing recommender system solutions and you'll be exploring Generative AI offerings. This includes Image and Video Content. Strong Programming Skills : Proficiency in Python and SQL. Hands-on Experience with LLMs : Practical knowledge of working with large language models (LLMs) and retrieval-augmented generation (RAG). Advanced Evaluation Techniques : Expertise in A/B testing, human-in-the-loop evaluation, and GenAI quality metrics, ensuring the quality, relevance, and user engagement of AI-generated content. This London-based hybrid role offers a base salary of £90-95k, plus bonuses and a host of other benefits. Apply now for immediate consideration.
15/03/2025
Full time
Are you an experienced Data Scientist looking for a role leveraging GenAI tech? Have you honed your skills in machine learning and kept a close eye on the transformative potential of generative AI? Imagine a role where your expertise can drive significant change and help shape the future of an industry We are hiring for a Senior Data Scientist role with a focus on generative AI and recommender systems for a pioneering businesses in online search comparison. This is your chance to work on cutting-edge projects, collaborate with brilliant minds, and see your work directly impact millions of daily users worldwide. You'll be part of a team that's building a new online experience to inspire users with new ideas, leveraging technologies like GenAI and recommender systems to optimize image, video and text content and create a limprove the eading platform in their field. Technical Requirements: Interest in Generative AI and Recommender Systems : Proven experience in developing and implementing recommender system solutions and you'll be exploring Generative AI offerings. This includes Image and Video Content. Strong Programming Skills : Proficiency in Python and SQL. Hands-on Experience with LLMs : Practical knowledge of working with large language models (LLMs) and retrieval-augmented generation (RAG). Advanced Evaluation Techniques : Expertise in A/B testing, human-in-the-loop evaluation, and GenAI quality metrics, ensuring the quality, relevance, and user engagement of AI-generated content. This London-based hybrid role offers a base salary of £90-95k, plus bonuses and a host of other benefits. Apply now for immediate consideration.
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
14/03/2025
Full time
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Spark / Apache Airflow ML frame work experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from 70,000 - 95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
14/03/2025
Full time
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Spark / Apache Airflow ML frame work experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from 70,000 - 95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: * Prior Senior Data Scientist with Machine Learning experience * Strong understanding and experience with ML models and ML observability tools * Strong Python and SQL experience * Spark/Apache Airflow * ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) * Experience with cloud platforms (preferably AWS) * Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from £75,000 - £95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
14/03/2025
Full time
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: * Prior Senior Data Scientist with Machine Learning experience * Strong understanding and experience with ML models and ML observability tools * Strong Python and SQL experience * Spark/Apache Airflow * ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) * Experience with cloud platforms (preferably AWS) * Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from £75,000 - £95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
Are you a seasoned Machine Learning Engineer ready to take the next step in your career by productionising GenAI and Recommender Systems at huge scale? Do you have a passion for machine learning and a keen interest in the transformative potential of generative AI? About the Role: You'll join a global online marketplace as a Lead Machine Learning Engineer in an ML Enablement team. In this role, you'll be at the forefront of productionising GenAI and Recommender Systems at scale. Your expertise will drive significant change and help shape the future of the their business and how hundreds of millions of customers interact with their platform. Key Responsibilities Productionise GenAI and Recommender Systems : Develop and implement scalable solutions for a global platform. MLOps Focus : Utilise MLflow, SageMaker, and machine learning libraries to streamline and optimise ML operations. Collaborate and Innovate : Work with a team of brilliant minds on projects that directly impact hundreds of millions of users worldwide. Technical Requirements Machine Learning Expertise : Previous experience as a Senior Data Scientist or ML Engineer, with hands-on experience deploying ML models in production within a commercial environment. Strong understanding of ML models and their applications. Programming and Frameworks : Proficiency in Python and SQL,. Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. Cloud and Containerisation : Experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies (Docker, Kubernetes). MLOps and Responsible AI : Familiarity with CI/CD pipelines, model registries, ML observability tools, responsible AI principles, model monitoring, and data privacy best practices. Compensation : Base salary of £90-95k, plus bonuses and a host of other benefits including ability to travel internationally to global offices, or work from anywhere globally for 1 month per year. Location: London, Hybrid. 2 days on-site per week. Apply now for immediate consideration.
14/03/2025
Full time
Are you a seasoned Machine Learning Engineer ready to take the next step in your career by productionising GenAI and Recommender Systems at huge scale? Do you have a passion for machine learning and a keen interest in the transformative potential of generative AI? About the Role: You'll join a global online marketplace as a Lead Machine Learning Engineer in an ML Enablement team. In this role, you'll be at the forefront of productionising GenAI and Recommender Systems at scale. Your expertise will drive significant change and help shape the future of the their business and how hundreds of millions of customers interact with their platform. Key Responsibilities Productionise GenAI and Recommender Systems : Develop and implement scalable solutions for a global platform. MLOps Focus : Utilise MLflow, SageMaker, and machine learning libraries to streamline and optimise ML operations. Collaborate and Innovate : Work with a team of brilliant minds on projects that directly impact hundreds of millions of users worldwide. Technical Requirements Machine Learning Expertise : Previous experience as a Senior Data Scientist or ML Engineer, with hands-on experience deploying ML models in production within a commercial environment. Strong understanding of ML models and their applications. Programming and Frameworks : Proficiency in Python and SQL,. Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. Cloud and Containerisation : Experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies (Docker, Kubernetes). MLOps and Responsible AI : Familiarity with CI/CD pipelines, model registries, ML observability tools, responsible AI principles, model monitoring, and data privacy best practices. Compensation : Base salary of £90-95k, plus bonuses and a host of other benefits including ability to travel internationally to global offices, or work from anywhere globally for 1 month per year. Location: London, Hybrid. 2 days on-site per week. Apply now for immediate consideration.
The Role: Senior Bioinformatician Location: Cambridge Salary: £60K Are you looking for a new role where you can make a difference? In need of a more stimulating and interesting role? Do you want to push the boundaries of innovation and development?Great! This might be the role for you!We have partnered with one of the most exciting life sciences businesses in the UK who is on a mission to break down barriers and deliver lifesaving medical solutions. The business is experiencing exponential growth and they are looking for a seasoned Senior Bioinformatician to join their team in Cambridge on a full-time permanent basis. As the successful candidate, you will be integral to the overall success of the operation, offering bioinformatics support for lab scientists, and drive computational projects, in areas including single-cell sequencing, machine learning, protein 3D structure, etc. On offer is a very competitive basic salary and: Benefits: Inclusive and supportive work environment Career progression opportunities Ongoing training and support Health cash plan Private medical insurance Critical illness coverage Life assurance Your Responsibilities: Provide bioinformatics support for lab scientists. Driving computational projects, using a wide range of software tools and techniques. Summarise results and graphical representation of statistical analyses. Process data generated with recent DNA sequencing technologies. Engage in bioinformatics software development projects Create web-based user interfaces Collaborating with various stakeholders to drive continuous improvement and quality. Your Skills: PhD in Bioinformatics or a related field Experience in bioinformatics software development Knowledge of Machine Learning Excellent programming skills in Python, R, and/or Java Strong analytical and problem-solving skills Ability to work independently and as part of a team Excellent communication skills To be considered for this position, please attach a copy of your most recent and up to date CV.
19/08/2023
Full time
The Role: Senior Bioinformatician Location: Cambridge Salary: £60K Are you looking for a new role where you can make a difference? In need of a more stimulating and interesting role? Do you want to push the boundaries of innovation and development?Great! This might be the role for you!We have partnered with one of the most exciting life sciences businesses in the UK who is on a mission to break down barriers and deliver lifesaving medical solutions. The business is experiencing exponential growth and they are looking for a seasoned Senior Bioinformatician to join their team in Cambridge on a full-time permanent basis. As the successful candidate, you will be integral to the overall success of the operation, offering bioinformatics support for lab scientists, and drive computational projects, in areas including single-cell sequencing, machine learning, protein 3D structure, etc. On offer is a very competitive basic salary and: Benefits: Inclusive and supportive work environment Career progression opportunities Ongoing training and support Health cash plan Private medical insurance Critical illness coverage Life assurance Your Responsibilities: Provide bioinformatics support for lab scientists. Driving computational projects, using a wide range of software tools and techniques. Summarise results and graphical representation of statistical analyses. Process data generated with recent DNA sequencing technologies. Engage in bioinformatics software development projects Create web-based user interfaces Collaborating with various stakeholders to drive continuous improvement and quality. Your Skills: PhD in Bioinformatics or a related field Experience in bioinformatics software development Knowledge of Machine Learning Excellent programming skills in Python, R, and/or Java Strong analytical and problem-solving skills Ability to work independently and as part of a team Excellent communication skills To be considered for this position, please attach a copy of your most recent and up to date CV.
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
15/08/2023
Full time
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
Postdoctoral Fellow: Genomic Data Science Cambridge, UK Competitive Salary, Bonus & Benefits Do you have expertise in large-scale data analysis and a passion for research on improving healthcare? AstraZeneca's Centre for Genomics Research has an exciting opportunity for a Postdoctoral Researcher to contribute to its Genomic Initiative! About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world's most serious diseases. But we're more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit. There's no better place to make a difference in medicine, patients, and society. About the Postdoc Programme: Bring your expertise, apply your knowledge, follow the science, and make a difference. Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca's Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals, and make a difference to our patients. This is a 3-year programme. 2-years will be a Fixed Term Contract, with a 1-year extension which will be merit-based. About the Opportunity: Fuelled by next-generation sequencing, human genetics research has provided unprecedented insights into revealing mechanisms of many diseases and brought great value to drug development. The Centre for Genomics Research (CGR) is an AstraZeneca initiative involving the generation and analysis of genetic data in participants from AstraZeneca clinical studies and large population cohorts, including the 500,000-participant UK Biobank study. These enable AstraZeneca to identify genetic determinants of disease risk, validate new targets for medicines, and improve patient stratification opportunities among the core areas of oncology, respiratory, immunology, cardiovascular, renal, and metabolic disease. Clonal haematopoiesis (CH), defined by the presence of clonal somatic variants in the blood of individuals without a haematological malignancy, is increasingly recognised as a major driver of both oncological and non-oncological diseases. However, the underlying mechanisms, downstream sequelae and opportunities for therapeutic intervention remain poorly understood. As a Postdoctoral Fellow, you will lead and perform computational genomic analyses on large-scale cohort studies to identify CH. Combining classical and Machine Learning (ML) statistical models, you will incorporate additional multi-omic data (e.g., phenomics, proteomics and metabolomics) to understand the role of CH in disease development. You will work closely with other members of the Centre for Genomics Research and collaborators, regularly present your research results internally and externally at conferences, and also drive the writing of manuscripts for publication. This is a unique opportunity to use innovative data science and machine learning methods. You'll benefit from AstraZeneca's privileged access to the dense phenotypic and linked multi-omic datasets in the UK Biobank and other large-scale genomic biobanks to characterise the role of CH in the aetiologies and trajectories of diverse diseases. You will be supervised by Dr Jonathan Mitchell, Senior Data Scientist and Dr Andrew Harper, Director Physician from AstraZeneca. You will also receive external academic guidance and mentorship from George Vassiliou, Professor of Haematological Medicine at the University of Cambridge. Qualification, Skills & Experience: Essential Requirements PhD in Statistical Genetics / Computational Biology / Bioinformatics / Biostatistics / Mathematics / Physics / Computer Science or a related field Expertise in programming appropriate to large-scale genomics analysis (e.g., Python, R, BASH) Proven experience in large-scale data analysis and applied statistics Track record of first-authored work published in peer-reviewed scientific journals Strong communication and team-working skills Desirable Requirements Expertise analysing human whole exome or genome sequencing data Understanding of advanced analytics, including machine learning Experience in high-performance and cloud computing Understanding of the potential application of genomics to drug discovery and precision medicine approaches Why Should You Apply? Lead a project working with world-leading experts in large-scale human genomics, both within AstraZeneca and at the University of Cambridge Enjoy privileged access to the clinical genomics database at AstraZeneca's Centre for Genomics Research, one of the largest globally, and multi-omics data for a subset of these individuals Conduct research with the potential to improve our clinical understanding of CH Publish findings in high-impact, peer-reviewed journals Ready for an exciting, rewarding challenge? Apply today! Advert Opens: Wednesday 7th September 2022 Advert Closes: Sunday 9th October 2022
24/09/2022
Full time
Postdoctoral Fellow: Genomic Data Science Cambridge, UK Competitive Salary, Bonus & Benefits Do you have expertise in large-scale data analysis and a passion for research on improving healthcare? AstraZeneca's Centre for Genomics Research has an exciting opportunity for a Postdoctoral Researcher to contribute to its Genomic Initiative! About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world's most serious diseases. But we're more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit. There's no better place to make a difference in medicine, patients, and society. About the Postdoc Programme: Bring your expertise, apply your knowledge, follow the science, and make a difference. Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca's Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals, and make a difference to our patients. This is a 3-year programme. 2-years will be a Fixed Term Contract, with a 1-year extension which will be merit-based. About the Opportunity: Fuelled by next-generation sequencing, human genetics research has provided unprecedented insights into revealing mechanisms of many diseases and brought great value to drug development. The Centre for Genomics Research (CGR) is an AstraZeneca initiative involving the generation and analysis of genetic data in participants from AstraZeneca clinical studies and large population cohorts, including the 500,000-participant UK Biobank study. These enable AstraZeneca to identify genetic determinants of disease risk, validate new targets for medicines, and improve patient stratification opportunities among the core areas of oncology, respiratory, immunology, cardiovascular, renal, and metabolic disease. Clonal haematopoiesis (CH), defined by the presence of clonal somatic variants in the blood of individuals without a haematological malignancy, is increasingly recognised as a major driver of both oncological and non-oncological diseases. However, the underlying mechanisms, downstream sequelae and opportunities for therapeutic intervention remain poorly understood. As a Postdoctoral Fellow, you will lead and perform computational genomic analyses on large-scale cohort studies to identify CH. Combining classical and Machine Learning (ML) statistical models, you will incorporate additional multi-omic data (e.g., phenomics, proteomics and metabolomics) to understand the role of CH in disease development. You will work closely with other members of the Centre for Genomics Research and collaborators, regularly present your research results internally and externally at conferences, and also drive the writing of manuscripts for publication. This is a unique opportunity to use innovative data science and machine learning methods. You'll benefit from AstraZeneca's privileged access to the dense phenotypic and linked multi-omic datasets in the UK Biobank and other large-scale genomic biobanks to characterise the role of CH in the aetiologies and trajectories of diverse diseases. You will be supervised by Dr Jonathan Mitchell, Senior Data Scientist and Dr Andrew Harper, Director Physician from AstraZeneca. You will also receive external academic guidance and mentorship from George Vassiliou, Professor of Haematological Medicine at the University of Cambridge. Qualification, Skills & Experience: Essential Requirements PhD in Statistical Genetics / Computational Biology / Bioinformatics / Biostatistics / Mathematics / Physics / Computer Science or a related field Expertise in programming appropriate to large-scale genomics analysis (e.g., Python, R, BASH) Proven experience in large-scale data analysis and applied statistics Track record of first-authored work published in peer-reviewed scientific journals Strong communication and team-working skills Desirable Requirements Expertise analysing human whole exome or genome sequencing data Understanding of advanced analytics, including machine learning Experience in high-performance and cloud computing Understanding of the potential application of genomics to drug discovery and precision medicine approaches Why Should You Apply? Lead a project working with world-leading experts in large-scale human genomics, both within AstraZeneca and at the University of Cambridge Enjoy privileged access to the clinical genomics database at AstraZeneca's Centre for Genomics Research, one of the largest globally, and multi-omics data for a subset of these individuals Conduct research with the potential to improve our clinical understanding of CH Publish findings in high-impact, peer-reviewed journals Ready for an exciting, rewarding challenge? Apply today! Advert Opens: Wednesday 7th September 2022 Advert Closes: Sunday 9th October 2022
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.
Job Title Senior Cloud Infrastructure Engineer Advert People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it! At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites. We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! . If you would like support with your application (or require any adjustments) please contact us at for assistance. All qualified applicants will be thoughtfully considered and never discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status. Job Description Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights. We are currently hiring a Senior Infrastructure Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Data Science and Machine Learning effort. If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today! Key Responsibilities You may be fit for this role if you: - Are experienced in building scalable infrastructure using cloud native technologies. - Are a software craftsman who believes in shipping quality software daily. - Value pragmatism and simplicity and find pleasure in effectively using technology. - Enjoy working in high performing teams, which value learning, shared responsibility and adapting quickly. You might work on: - Production cloud infrastructure for hosting and monitoring machine learning services and APIs - Infrastructure to allow data scientists and data engineers quick experimentation and training of ML models - Frictionless scalable deployment pipeline from experiments to production - Building tools to help engineering teams deliver high quality software and iterate quickly Required Skills/Experience: - 5+ years of relevant industry experience - Knowledge of, and experience automating cloud infrastructure (AWS or GCP) - Ability to solve problems that span multiple interconnected systems - Ability to design, reason about, explain and implement end-to-end distributed solutions - Experience with Linux, Kubernetes, Docker, Terraform - Great communication and collaboration skills Function Technology Country United Kingdom Office Location Newcastle;Remote;London Work Place type Hybrid
23/09/2022
Full time
Job Title Senior Cloud Infrastructure Engineer Advert People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it! At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites. We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! . If you would like support with your application (or require any adjustments) please contact us at for assistance. All qualified applicants will be thoughtfully considered and never discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status. Job Description Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights. We are currently hiring a Senior Infrastructure Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Data Science and Machine Learning effort. If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today! Key Responsibilities You may be fit for this role if you: - Are experienced in building scalable infrastructure using cloud native technologies. - Are a software craftsman who believes in shipping quality software daily. - Value pragmatism and simplicity and find pleasure in effectively using technology. - Enjoy working in high performing teams, which value learning, shared responsibility and adapting quickly. You might work on: - Production cloud infrastructure for hosting and monitoring machine learning services and APIs - Infrastructure to allow data scientists and data engineers quick experimentation and training of ML models - Frictionless scalable deployment pipeline from experiments to production - Building tools to help engineering teams deliver high quality software and iterate quickly Required Skills/Experience: - 5+ years of relevant industry experience - Knowledge of, and experience automating cloud infrastructure (AWS or GCP) - Ability to solve problems that span multiple interconnected systems - Ability to design, reason about, explain and implement end-to-end distributed solutions - Experience with Linux, Kubernetes, Docker, Terraform - Great communication and collaboration skills Function Technology Country United Kingdom Office Location Newcastle;Remote;London Work Place type Hybrid
Software Dev ManagerJob ID: Amazon EU SARL (UK Branch) Are you interested in building state-of-the-art software applications and machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, how to reach net zero carbon by 2040). Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on software applications and services for Amazon Transportation Services, while working close together with Machine Learning scientists developing a wide array of models to improve transportation planning and business processes. If you are a strong technical and experienced Software Developer Manager who is interested in re-defining and delivering new services to help fuel the explosive growth of ATS, then this is the job for you. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history. BASIC QUALIFICATIONS Bachelor's degree or higher in Computer Science, Engineering or related field 7+ years professional experience in software development management Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Experience building web services and Internet applications (client or server side) Proven understanding of scalable computing systems, software architecture, data structures and algorithms Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy Experience in Agile/Scrum framework/methodologies PREFERRED QUALIFICATIONS Master's degree in Computer Science or related field Strong coding skills in Python and Java. Experience with working on AWS services (S3, DynamoDB, EC2, API Gateway, Batch) Experience developing front-end using JavaScript, Redux, , or similar. Experience creating new successful REST APIs
23/09/2022
Full time
Software Dev ManagerJob ID: Amazon EU SARL (UK Branch) Are you interested in building state-of-the-art software applications and machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, how to reach net zero carbon by 2040). Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on software applications and services for Amazon Transportation Services, while working close together with Machine Learning scientists developing a wide array of models to improve transportation planning and business processes. If you are a strong technical and experienced Software Developer Manager who is interested in re-defining and delivering new services to help fuel the explosive growth of ATS, then this is the job for you. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history. BASIC QUALIFICATIONS Bachelor's degree or higher in Computer Science, Engineering or related field 7+ years professional experience in software development management Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Experience building web services and Internet applications (client or server side) Proven understanding of scalable computing systems, software architecture, data structures and algorithms Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy Experience in Agile/Scrum framework/methodologies PREFERRED QUALIFICATIONS Master's degree in Computer Science or related field Strong coding skills in Python and Java. Experience with working on AWS services (S3, DynamoDB, EC2, API Gateway, Batch) Experience developing front-end using JavaScript, Redux, , or similar. Experience creating new successful REST APIs
Senior Software Development Engineer, SimExJob ID: Amazon UK Services Ltd.Job summary This job opening requires relocation to UK - available in London or Cambridge. Looking for an exciting challenge to accelerate your career? Are you customer obsessed? Imagine being part of a team that predicts inventory flows for Amazon's worldwide supply chain. Amazon's worldwide inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand forecast. Our massive simulation system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows across the network for both labor planning and AB test experimentation, end-to-end from vendors to customers. The Amazon Supply Chain Optimization Technology (SCOT - ) organization is looking for a highly motivated software development engineers (SDE). SCOT is a unique opportunity to both create and see the direct impact of your work on billions of dollars' worth of inventory, in one of the world's most advanced supply chains, and at massive scale. As an SDE in SCOT's Simulation and Experimentation (SimEx) team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers, to solve highly complex supply chain challenges. You will work on one of the largest distributed systems in the world in order to support new use cases and design its future state, you will think of how we can leverage newer AWS technologies (specifically technologies such as ECS and EMR), that will allow our next generation system to run elastically at a much larger scale and on demand, as well as define new frameworks (data APIs, plug and play technology) that will allow supply chain teams to integrate their components in simulation in a low touch manner. You will be responsible for building key technology programs across our SimEx tool set, successfully delivering new functionality and meeting program goals. You will design, implement, test, write library code and own Monte Carlo Simulation system for Amazon Supply Chain, using object-oriented, distributed programming, and other AWS services and more in Linux environment. Finally, here are some more reasons you might find this opportunity exciting: Being part of a team that is at the heart of the most sophisticated supply chain and decision making system on the planet. Working at the intersection of science and engineering to simulate and predict future supply chain flows in order to ultimately impact Amazon user experience (by helping supply chain teams run experiments that allow for speed and same day availability for example), saving hundreds of millions of dollars using cutting edge science and technology on the way. Closely collaborating with some of the brightest software engineers, scientists, and economists, in order to solve complex supply chain problems and implement systems to tackle these challenges at scale (trillions of simulation events per day), and an evolving need for faster and more scalable applications. Being part of a team that values creativity and welcomes outside of the box thinking (thinking big!). Being part of a team with a high emphasis on a positive work culture of collaboration. Being part of a fast growing team with many growth opportunities BASIC QUALIFICATIONS 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design 4+ years of professional software development experience 2+ years of experience as a mentor, tech lead OR leading an engineering team PREFERRED QUALIFICATIONS Understanding of Amazon technologies like DynamoDB, AWS, S3, EMR, ECS Understanding of integration technologies like web services, messaging queues Understanding of No-Sql and RDBMS database technologies Experience with an AB testing framework Experience with MapReduce concepts and Hadoop Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment Experience to guide engineers inside and outside the team for design Experience with data mining, databases, and massively parallel systems Experience building and operating highly, high availability services Experience in analytical systems and machine learning The ideal candidate will have experience leading technical teams with strong business judgment to make the right decisions about technology choices, and experience coaching and mentoring software engineers. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel: ). If calling from Ireland, please dial (tel: ).
23/09/2022
Full time
Senior Software Development Engineer, SimExJob ID: Amazon UK Services Ltd.Job summary This job opening requires relocation to UK - available in London or Cambridge. Looking for an exciting challenge to accelerate your career? Are you customer obsessed? Imagine being part of a team that predicts inventory flows for Amazon's worldwide supply chain. Amazon's worldwide inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand forecast. Our massive simulation system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows across the network for both labor planning and AB test experimentation, end-to-end from vendors to customers. The Amazon Supply Chain Optimization Technology (SCOT - ) organization is looking for a highly motivated software development engineers (SDE). SCOT is a unique opportunity to both create and see the direct impact of your work on billions of dollars' worth of inventory, in one of the world's most advanced supply chains, and at massive scale. As an SDE in SCOT's Simulation and Experimentation (SimEx) team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers, to solve highly complex supply chain challenges. You will work on one of the largest distributed systems in the world in order to support new use cases and design its future state, you will think of how we can leverage newer AWS technologies (specifically technologies such as ECS and EMR), that will allow our next generation system to run elastically at a much larger scale and on demand, as well as define new frameworks (data APIs, plug and play technology) that will allow supply chain teams to integrate their components in simulation in a low touch manner. You will be responsible for building key technology programs across our SimEx tool set, successfully delivering new functionality and meeting program goals. You will design, implement, test, write library code and own Monte Carlo Simulation system for Amazon Supply Chain, using object-oriented, distributed programming, and other AWS services and more in Linux environment. Finally, here are some more reasons you might find this opportunity exciting: Being part of a team that is at the heart of the most sophisticated supply chain and decision making system on the planet. Working at the intersection of science and engineering to simulate and predict future supply chain flows in order to ultimately impact Amazon user experience (by helping supply chain teams run experiments that allow for speed and same day availability for example), saving hundreds of millions of dollars using cutting edge science and technology on the way. Closely collaborating with some of the brightest software engineers, scientists, and economists, in order to solve complex supply chain problems and implement systems to tackle these challenges at scale (trillions of simulation events per day), and an evolving need for faster and more scalable applications. Being part of a team that values creativity and welcomes outside of the box thinking (thinking big!). Being part of a team with a high emphasis on a positive work culture of collaboration. Being part of a fast growing team with many growth opportunities BASIC QUALIFICATIONS 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design 4+ years of professional software development experience 2+ years of experience as a mentor, tech lead OR leading an engineering team PREFERRED QUALIFICATIONS Understanding of Amazon technologies like DynamoDB, AWS, S3, EMR, ECS Understanding of integration technologies like web services, messaging queues Understanding of No-Sql and RDBMS database technologies Experience with an AB testing framework Experience with MapReduce concepts and Hadoop Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment Experience to guide engineers inside and outside the team for design Experience with data mining, databases, and massively parallel systems Experience building and operating highly, high availability services Experience in analytical systems and machine learning The ideal candidate will have experience leading technical teams with strong business judgment to make the right decisions about technology choices, and experience coaching and mentoring software engineers. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel: ). If calling from Ireland, please dial (tel: ).
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.
Requisition ID: R A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom Citizenship Required: United Kingdom Citizenship Clearance Type: Developed Vetting (DV) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: No Positions Available: 1 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Your Opportunity to Define Possible. Our Opportunity to Deliver the Nation's Security. Together. Salary: £46,000 - £66,000 Role clearance type: UK-Developed Vetting (DV) / UK-Security Cleared (SC). Clearance not required to start. Location: Cheltenham, Gloucestershire, United Kingdom / Manchester, Greater Manchester, United Kingdom About Your Opportunity: Northrop Grumman UK (NG UK) is a growing British business, with over 5,000 employees based in the UK, wholeheartedly committed to supporting the defence and national security of the United Kingdom and its allies. NG UK is a part of the Northrop Grumman group, but operates as its own UK based business. Opportunities to collaborate with the wider group exist, but have to be compliant with UK and international trade laws. We are an industry leader in solutions that harness the latest in data science, machine learning and secure cloud transformation technology, delivered at pace and scale. As a British business we are committed to generating long-term prosperity and social value in the UK, investing in advanced R&D, sovereign IP and exportable solutions driving the creation of high-quality jobs. A Data Scientist at NGUK can expect to work across any of the domains that we operate in: cyber security, communications & remote sensors. Your Benefits: Flexible working schedules - we offer flexible and hybrid working arrangements. Talk to us at the application stage about any scheduling preferences you may have. Flexible Benefits Package - choose which NGUKL benefits you want to satisfy your personal needs. Core Benefits provided for you are Healthcare, Dental, Life Assurance and Pension. Benefits you can flex include Critical Illness Cover, Health Cash Plan, and Health Assessments. Employee Incentive Programme - exceptional performance is recognised through our annual incentive programme which is awarded to top performers who excel Career Development - opportunity for ongoing professional development and career growth opportunities At NG we appreciate that careers are non-linear, therefore we have no fixed minimum skillset requirements and all candidates will be judged on their own merits. The only fixed requirements are a strong (demonstrable) numeric background, ability to work in a team and an inquisitive mind-set. Some desirable skills include: Coding skills (preferably in a language that is commonly used for Data Science/modelling: Python/R/SAS etc.) Experience of Data modelling Experience of applying data science solutions in the real world Domain knowledge in: Radio Frequency, Cyber Security, Image/Video Modelling, working with sensors, Natural Language, Maths, Physics, Chemistry, Engineering or Behavioural Sciences NG UK have no requirement for more senior staff to do line management, however in order to be considered for the Lead role, candidates must have either: Experience of Line managing a team and good depth of knowledge/technical skills in 1 area or a broad depth of knowledge in multiple areas Very strong knowledge/technical skills in one or more areas All Senior and Lead staff, regardless of line management duties, are required to help guide and teach more junior staff. Your Future Team: You will be joining a large, friendly team of data scientists, performing a range of tasks from developing completely novel analytics systems, designing experiments to apply existing systems into new domains or providing thought leadership to apply data science techniques while embedded within delivery teams. We believe that creating a team that values diversity and fosters inclusion is essential to great performance. We know the best ideas come from diversity of thought, background, perspective, culture, gender, race, age and many other elements. We welcome candidates from all backgrounds and particularly from communities currently under-represented within our industry. We treat everyone with respect and foster safe and inclusive environments. Our goal is to continually support and nurture the large number of Northrop Grumman employees whose backgrounds, characteristics and perspectives are as diverse as the global communities in which we reside. In order to do this we run employee resource groups (ERGs) to promote understanding and support in areas such as NDNG (Neurodiversity), NGWIN (Women in NG), GreenNG, REACH (race, ethnicity and cultural heritage), PrIDA (Pride in diversity alliance) as well as other initiatives. If these do not cover an area that is relevant to you, then employees are encouraged to start their own. For more information on our ERGs check out the page here: Diversity Equity and Inclusion in the UK - Northrop Grumman About Our Responsibilities: Our customers operate in unique environments which offer new and exciting challenges every day, cultivating a place where you can learn and thrive, working alongside the best minds in industry. We'll give you space to develop your career, where your ideas can shape the future of our dynamic business. We promote collaboration to achieve more than we could imagine, together. And within a respectful and inspirational environment, we value what you say and do. How to Apply: Interested in our opportunity? Yes - then simply submit your application online. Your application will be reviewed by one of our expert recruiters who'll then respond advising you of the outcome and next steps for successful candidates. Possibly, I'd like to find out more - then connect direct with , our recruitment business partner who will be happy to support you with any enquires. Background checks and potentially security clearance form part of the recruitment process, our team will inform you of the procedures when required. Northrop Grumman UK: Work with a global brand that makes a real contribution to our nation's security and future. At Northrop Grumman UK, the brightest minds come together to push the boundaries and Define Possible. As leaders in the digital transformation of Aerospace, Defence and Intelligence we are providing ground-breaking outcomes for our customers. Find out more: " Northrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
21/09/2022
Full time
Requisition ID: R A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom Citizenship Required: United Kingdom Citizenship Clearance Type: Developed Vetting (DV) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: No Positions Available: 1 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Your Opportunity to Define Possible. Our Opportunity to Deliver the Nation's Security. Together. Salary: £46,000 - £66,000 Role clearance type: UK-Developed Vetting (DV) / UK-Security Cleared (SC). Clearance not required to start. Location: Cheltenham, Gloucestershire, United Kingdom / Manchester, Greater Manchester, United Kingdom About Your Opportunity: Northrop Grumman UK (NG UK) is a growing British business, with over 5,000 employees based in the UK, wholeheartedly committed to supporting the defence and national security of the United Kingdom and its allies. NG UK is a part of the Northrop Grumman group, but operates as its own UK based business. Opportunities to collaborate with the wider group exist, but have to be compliant with UK and international trade laws. We are an industry leader in solutions that harness the latest in data science, machine learning and secure cloud transformation technology, delivered at pace and scale. As a British business we are committed to generating long-term prosperity and social value in the UK, investing in advanced R&D, sovereign IP and exportable solutions driving the creation of high-quality jobs. A Data Scientist at NGUK can expect to work across any of the domains that we operate in: cyber security, communications & remote sensors. Your Benefits: Flexible working schedules - we offer flexible and hybrid working arrangements. Talk to us at the application stage about any scheduling preferences you may have. Flexible Benefits Package - choose which NGUKL benefits you want to satisfy your personal needs. Core Benefits provided for you are Healthcare, Dental, Life Assurance and Pension. Benefits you can flex include Critical Illness Cover, Health Cash Plan, and Health Assessments. Employee Incentive Programme - exceptional performance is recognised through our annual incentive programme which is awarded to top performers who excel Career Development - opportunity for ongoing professional development and career growth opportunities At NG we appreciate that careers are non-linear, therefore we have no fixed minimum skillset requirements and all candidates will be judged on their own merits. The only fixed requirements are a strong (demonstrable) numeric background, ability to work in a team and an inquisitive mind-set. Some desirable skills include: Coding skills (preferably in a language that is commonly used for Data Science/modelling: Python/R/SAS etc.) Experience of Data modelling Experience of applying data science solutions in the real world Domain knowledge in: Radio Frequency, Cyber Security, Image/Video Modelling, working with sensors, Natural Language, Maths, Physics, Chemistry, Engineering or Behavioural Sciences NG UK have no requirement for more senior staff to do line management, however in order to be considered for the Lead role, candidates must have either: Experience of Line managing a team and good depth of knowledge/technical skills in 1 area or a broad depth of knowledge in multiple areas Very strong knowledge/technical skills in one or more areas All Senior and Lead staff, regardless of line management duties, are required to help guide and teach more junior staff. Your Future Team: You will be joining a large, friendly team of data scientists, performing a range of tasks from developing completely novel analytics systems, designing experiments to apply existing systems into new domains or providing thought leadership to apply data science techniques while embedded within delivery teams. We believe that creating a team that values diversity and fosters inclusion is essential to great performance. We know the best ideas come from diversity of thought, background, perspective, culture, gender, race, age and many other elements. We welcome candidates from all backgrounds and particularly from communities currently under-represented within our industry. We treat everyone with respect and foster safe and inclusive environments. Our goal is to continually support and nurture the large number of Northrop Grumman employees whose backgrounds, characteristics and perspectives are as diverse as the global communities in which we reside. In order to do this we run employee resource groups (ERGs) to promote understanding and support in areas such as NDNG (Neurodiversity), NGWIN (Women in NG), GreenNG, REACH (race, ethnicity and cultural heritage), PrIDA (Pride in diversity alliance) as well as other initiatives. If these do not cover an area that is relevant to you, then employees are encouraged to start their own. For more information on our ERGs check out the page here: Diversity Equity and Inclusion in the UK - Northrop Grumman About Our Responsibilities: Our customers operate in unique environments which offer new and exciting challenges every day, cultivating a place where you can learn and thrive, working alongside the best minds in industry. We'll give you space to develop your career, where your ideas can shape the future of our dynamic business. We promote collaboration to achieve more than we could imagine, together. And within a respectful and inspirational environment, we value what you say and do. How to Apply: Interested in our opportunity? Yes - then simply submit your application online. Your application will be reviewed by one of our expert recruiters who'll then respond advising you of the outcome and next steps for successful candidates. Possibly, I'd like to find out more - then connect direct with , our recruitment business partner who will be happy to support you with any enquires. Background checks and potentially security clearance form part of the recruitment process, our team will inform you of the procedures when required. Northrop Grumman UK: Work with a global brand that makes a real contribution to our nation's security and future. At Northrop Grumman UK, the brightest minds come together to push the boundaries and Define Possible. As leaders in the digital transformation of Aerospace, Defence and Intelligence we are providing ground-breaking outcomes for our customers. Find out more: " Northrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
Location Any Capgemini office About Us Join the Capgemini UK Insights & Data team and work on a variety of projects. Be part of an increasingly diverse and collaborative team that rewards entrepreneurial spirit, quick thinking, and smart solutions. Projects range from rapid proof-of-value engagements to operationalising services that are used by millions of people. We are a large and growing team, and part of an organisation that is continually recognised as one of the 50 best places to work in the UK by both The Times and Glassdoor. Make a positive difference by applying your skills and experience. Stretch yourself and learn. Get recognition for your work: demonstrable success will result in rapid career progression Who you'll be working with You will be joining the AI and Analytics team within Capgemini's Insights and Data Global Business Unit. We are an extremely talented and passionate team who focus on solving customers' business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers - we seek to ideate and bring to life what's next for our clients. Focus of your Role You will join the team with a responsibility to deliver industry-leading visualisation solutions to Capgemini's world class customer base. We have customers in most industry sectors and are particularly strong in Consumer Products and Retail, Public Sector, Energy and Utilities and Manufacturing. Additionally, you will work with our business development teams to build sales collateral and assist in selling new business by showcasing our data communication and storytelling expertise. Due to market demand, we are specifically looking for people with deep SAP analytics experience. Experience working with SAP Analytics Cloud will be highly valued, as will proficiency in SAP BusinessObjects and SAP BW/HANA. Certifications in any of the above technologies would be highly advantageous. You will ideally hold some form of security clearance or be eligible and willing to go through the process. What you'll do • Solve problems for large corporate clients across multiple sectors • Work in or lead multidisciplinary, agile, and distributed teams • Develop leading visualisation solutions for our customers - based on best practices such as IBCS • Tell compelling stories that engage the audience and compel them to understand the insights • Coach our customers so they can make the best use of the content we deliver, guiding as required • Share your passion and knowledge with others • Strengthen our internal capability via tangible contributions to the AI & Analytics practice • Mentor other team members What you'll bring • Strong SAP Analytics Cloud knowledge • Hands-on experience of designing and building SAP BusinessObjects, BW, DWC, and/or HANA solutions • The ability to lead teams through multiple full lifecycle implementations • A passion for data and insights • Expert knowledge of BI, visualisation and storytelling concepts • A desire to broaden your skillset, learning and utilising other tools as required • Knowledge and experience of data warehousing concepts and SQL are desirable • Experience in interfacing with senior client stakeholders - commercial management experience is an advantage What we'll offer you Professional development. Accelerated career progression. An environment that encourages entrepreneurial spirit. A variety of rich experiences. It's all on offer at Capgemini. And although collaboration is at the core of the way we work, we also recognise individual needs with a flexible benefits package you can tailor to suit you. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive , and more successful. Smart, tailored , often-ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing, and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual , family, and work-life needs
21/09/2022
Full time
Location Any Capgemini office About Us Join the Capgemini UK Insights & Data team and work on a variety of projects. Be part of an increasingly diverse and collaborative team that rewards entrepreneurial spirit, quick thinking, and smart solutions. Projects range from rapid proof-of-value engagements to operationalising services that are used by millions of people. We are a large and growing team, and part of an organisation that is continually recognised as one of the 50 best places to work in the UK by both The Times and Glassdoor. Make a positive difference by applying your skills and experience. Stretch yourself and learn. Get recognition for your work: demonstrable success will result in rapid career progression Who you'll be working with You will be joining the AI and Analytics team within Capgemini's Insights and Data Global Business Unit. We are an extremely talented and passionate team who focus on solving customers' business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers - we seek to ideate and bring to life what's next for our clients. Focus of your Role You will join the team with a responsibility to deliver industry-leading visualisation solutions to Capgemini's world class customer base. We have customers in most industry sectors and are particularly strong in Consumer Products and Retail, Public Sector, Energy and Utilities and Manufacturing. Additionally, you will work with our business development teams to build sales collateral and assist in selling new business by showcasing our data communication and storytelling expertise. Due to market demand, we are specifically looking for people with deep SAP analytics experience. Experience working with SAP Analytics Cloud will be highly valued, as will proficiency in SAP BusinessObjects and SAP BW/HANA. Certifications in any of the above technologies would be highly advantageous. You will ideally hold some form of security clearance or be eligible and willing to go through the process. What you'll do • Solve problems for large corporate clients across multiple sectors • Work in or lead multidisciplinary, agile, and distributed teams • Develop leading visualisation solutions for our customers - based on best practices such as IBCS • Tell compelling stories that engage the audience and compel them to understand the insights • Coach our customers so they can make the best use of the content we deliver, guiding as required • Share your passion and knowledge with others • Strengthen our internal capability via tangible contributions to the AI & Analytics practice • Mentor other team members What you'll bring • Strong SAP Analytics Cloud knowledge • Hands-on experience of designing and building SAP BusinessObjects, BW, DWC, and/or HANA solutions • The ability to lead teams through multiple full lifecycle implementations • A passion for data and insights • Expert knowledge of BI, visualisation and storytelling concepts • A desire to broaden your skillset, learning and utilising other tools as required • Knowledge and experience of data warehousing concepts and SQL are desirable • Experience in interfacing with senior client stakeholders - commercial management experience is an advantage What we'll offer you Professional development. Accelerated career progression. An environment that encourages entrepreneurial spirit. A variety of rich experiences. It's all on offer at Capgemini. And although collaboration is at the core of the way we work, we also recognise individual needs with a flexible benefits package you can tailor to suit you. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive , and more successful. Smart, tailored , often-ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing, and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual , family, and work-life needs
Requisition ID: R A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom Citizenship Required: United Kingdom Citizenship Clearance Type: Developed Vetting (DV) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: No Positions Available: 1 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Your Opportunity to Define Possible. Our Opportunity to Deliver the Nation's Security. Together. Salary: £35,000 - £51,000 Role clearance type: UK-Developed Vetting (DV) / UK-Security Cleared (SC). Clearance not required to start. Location: Cheltenham, Gloucestershire, United Kingdom / Manchester, Greater Manchester, United Kingdom About Your Opportunity: Northrop Grumman UK (NG UK) is a growing British business, with over 5,000 employees based in the UK, wholeheartedly committed to supporting the defence and national security of the United Kingdom and its allies. NG UK is a part of the Northrop Grumman group, but operates as its own UK based business. Opportunities to collaborate with the wider group exist, but have to be compliant with UK and international trade laws. We are an industry leader in solutions that harness the latest in data science, machine learning and secure cloud transformation technology, delivered at pace and scale. As a British business we are committed to generating long-term prosperity and social value in the UK, investing in advanced R&D, sovereign IP and exportable solutions driving the creation of high-quality jobs. A Data Scientist at NGUK can expect to work across any of the domains that we operate in: cyber security, communications & remote sensors. Your Benefits: Flexible working schedules - we offer flexible and hybrid working arrangements. Talk to us at the application stage about any scheduling preferences you may have. Flexible Benefits Package - choose which NGUKL benefits you want to satisfy your personal needs. Core Benefits provided for you are Healthcare, Dental, Life Assurance and Pension. Benefits you can flex include Critical Illness Cover, Health Cash Plan, and Health Assessments. Employee Incentive Programme - exceptional performance is recognized through our annual incentive programme which is awarded to top performers who excel Career Development - opportunity for ongoing professional development and career growth opportunities At NG we appreciate that careers are non-linear, therefore we have no fixed minimum skillset requirements and all candidates will be judged on their own merits. The only fixed requirements are a strong (demonstrable) numeric background, ability to work in a team and an inquisitive mind-set. Some desirable skills include: Coding skills (preferably in a language that is commonly used for Data Science/modelling: Python/R/SAS etc.) Experience of Data modelling Experience of applying data science solutions in the real world Domain knowledge in: Radio Frequency, Cyber Security, Image/Video Modelling, working with sensors, Natural Language, Maths, Physics, Chemistry, Engineering or Behavioural Sciences NG UK have no requirement for more senior staff to do line management, however in order to be considered for the Lead role, candidates must have either: Experience of Line managing a team and good depth of knowledge/technical skills in 1 area or a broad depth of knowledge in multiple areas Very strong knowledge/technical skills in one or more areas All Senior and Lead staff, regardless of line management duties, are required to help guide and teach more junior staff. Your Future Team: You will be joining a large, friendly team of data scientists, performing a range of tasks from developing completely novel analytics systems, designing experiments to apply existing systems into new domains or providing thought leadership to apply data science techniques while embedded within delivery teams. We believe that creating a team that values diversity and fosters inclusion is essential to great performance. We know the best ideas come from diversity of thought, background, perspective, culture, gender, race, age and many other elements. We welcome candidates from all backgrounds and particularly from communities currently under-represented within our industry. We treat everyone with respect and foster safe and inclusive environments. Our goal is to continually support and nurture the large number of Northrop Grumman employees whose backgrounds, characteristics and perspectives are as diverse as the global communities in which we reside. In order to do this we run employee resource groups (ERGs) to promote understanding and support in areas such as NDNG (Neurodiversity), NGWIN (Women in NG), GreenNG, REACH (race, ethnicity and cultural heritage), PrIDA (Pride in diversity alliance) as well as other initiatives. If these do not cover an area that is relevant to you, then employees are encouraged to start their own. For more information on our ERGs check out the page here: Diversity Equity and Inclusion in the UK - Northrop Grumman About Our Responsibilities: Our customers operate in unique environments which offer new and exciting challenges every day, cultivating a place where you can learn and thrive, working alongside the best minds in industry. We'll give you space to develop your career, where your ideas can shape the future of our dynamic business. We promote collaboration to achieve more than we could imagine, together. And within a respectful and inspirational environment, we value what you say and do. How to Apply: Interested in our opportunity? Yes - then simply submit your application online. Your application will be reviewed by one of our expert recruiters who'll then respond advising you of the outcome and next steps for successful candidates. Possibly, I'd like to find out more - then connect direct with , our recruitment business partner who will be happy to support you with any enquires. Background checks and potentially security clearance form part of the recruitment process, our team will inform you of the procedures when required. Northrop Grumman UK: Work with a global brand that makes a real contribution to our nation's security and future. At Northrop Grumman UK, the brightest minds come together to push the boundaries and Define Possible. As leaders in the digital transformation of Aerospace, Defence and Intelligence we are providing ground-breaking outcomes for our customers. Find out more: " Northrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
21/09/2022
Full time
Requisition ID: R A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom Citizenship Required: United Kingdom Citizenship Clearance Type: Developed Vetting (DV) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: No Positions Available: 1 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Your Opportunity to Define Possible. Our Opportunity to Deliver the Nation's Security. Together. Salary: £35,000 - £51,000 Role clearance type: UK-Developed Vetting (DV) / UK-Security Cleared (SC). Clearance not required to start. Location: Cheltenham, Gloucestershire, United Kingdom / Manchester, Greater Manchester, United Kingdom About Your Opportunity: Northrop Grumman UK (NG UK) is a growing British business, with over 5,000 employees based in the UK, wholeheartedly committed to supporting the defence and national security of the United Kingdom and its allies. NG UK is a part of the Northrop Grumman group, but operates as its own UK based business. Opportunities to collaborate with the wider group exist, but have to be compliant with UK and international trade laws. We are an industry leader in solutions that harness the latest in data science, machine learning and secure cloud transformation technology, delivered at pace and scale. As a British business we are committed to generating long-term prosperity and social value in the UK, investing in advanced R&D, sovereign IP and exportable solutions driving the creation of high-quality jobs. A Data Scientist at NGUK can expect to work across any of the domains that we operate in: cyber security, communications & remote sensors. Your Benefits: Flexible working schedules - we offer flexible and hybrid working arrangements. Talk to us at the application stage about any scheduling preferences you may have. Flexible Benefits Package - choose which NGUKL benefits you want to satisfy your personal needs. Core Benefits provided for you are Healthcare, Dental, Life Assurance and Pension. Benefits you can flex include Critical Illness Cover, Health Cash Plan, and Health Assessments. Employee Incentive Programme - exceptional performance is recognized through our annual incentive programme which is awarded to top performers who excel Career Development - opportunity for ongoing professional development and career growth opportunities At NG we appreciate that careers are non-linear, therefore we have no fixed minimum skillset requirements and all candidates will be judged on their own merits. The only fixed requirements are a strong (demonstrable) numeric background, ability to work in a team and an inquisitive mind-set. Some desirable skills include: Coding skills (preferably in a language that is commonly used for Data Science/modelling: Python/R/SAS etc.) Experience of Data modelling Experience of applying data science solutions in the real world Domain knowledge in: Radio Frequency, Cyber Security, Image/Video Modelling, working with sensors, Natural Language, Maths, Physics, Chemistry, Engineering or Behavioural Sciences NG UK have no requirement for more senior staff to do line management, however in order to be considered for the Lead role, candidates must have either: Experience of Line managing a team and good depth of knowledge/technical skills in 1 area or a broad depth of knowledge in multiple areas Very strong knowledge/technical skills in one or more areas All Senior and Lead staff, regardless of line management duties, are required to help guide and teach more junior staff. Your Future Team: You will be joining a large, friendly team of data scientists, performing a range of tasks from developing completely novel analytics systems, designing experiments to apply existing systems into new domains or providing thought leadership to apply data science techniques while embedded within delivery teams. We believe that creating a team that values diversity and fosters inclusion is essential to great performance. We know the best ideas come from diversity of thought, background, perspective, culture, gender, race, age and many other elements. We welcome candidates from all backgrounds and particularly from communities currently under-represented within our industry. We treat everyone with respect and foster safe and inclusive environments. Our goal is to continually support and nurture the large number of Northrop Grumman employees whose backgrounds, characteristics and perspectives are as diverse as the global communities in which we reside. In order to do this we run employee resource groups (ERGs) to promote understanding and support in areas such as NDNG (Neurodiversity), NGWIN (Women in NG), GreenNG, REACH (race, ethnicity and cultural heritage), PrIDA (Pride in diversity alliance) as well as other initiatives. If these do not cover an area that is relevant to you, then employees are encouraged to start their own. For more information on our ERGs check out the page here: Diversity Equity and Inclusion in the UK - Northrop Grumman About Our Responsibilities: Our customers operate in unique environments which offer new and exciting challenges every day, cultivating a place where you can learn and thrive, working alongside the best minds in industry. We'll give you space to develop your career, where your ideas can shape the future of our dynamic business. We promote collaboration to achieve more than we could imagine, together. And within a respectful and inspirational environment, we value what you say and do. How to Apply: Interested in our opportunity? Yes - then simply submit your application online. Your application will be reviewed by one of our expert recruiters who'll then respond advising you of the outcome and next steps for successful candidates. Possibly, I'd like to find out more - then connect direct with , our recruitment business partner who will be happy to support you with any enquires. Background checks and potentially security clearance form part of the recruitment process, our team will inform you of the procedures when required. Northrop Grumman UK: Work with a global brand that makes a real contribution to our nation's security and future. At Northrop Grumman UK, the brightest minds come together to push the boundaries and Define Possible. As leaders in the digital transformation of Aerospace, Defence and Intelligence we are providing ground-breaking outcomes for our customers. Find out more: " Northrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
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. 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