AE Management Associate - 12 Month FTC City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development, we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within R&D, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role Vigilance is essential to guarantee the ongoing understanding of the profile of adverse events related to the use of Reckitt's medicinal products, medical devices, cosmetics and vitamins, minerals and supplements (VMS). This role is a crucial role since the post-holder is responsible for completing the key tasks in the provision of safety services and vigilance to facilitate and support the ongoing marketing of RECKITT medicinal products, medical devices, cosmetics and VMS. The safety function is a statutory function imposed by external regulators. Your responsibilities AE Management - Associate is accountable overall to the AE Management - Manager, Global PV & Deputy QPPV & Director- Risk Management & Vigilance, European Union (EU) QPPV and Senior Vigilance Manager. AE Management - Associate is directly accountable to, on a day-to-day basis, to the AE Management - Manager. Specific tasks and responsibilities include, but are not limited to: Working with the AE Management - Manager and under the executive guidance from senior management to ensure all responsibilities regarding the processing (triage/entry/coding/evaluation/reporting/admin) of adverse event reports related to Reckitt's medicinal products, medical devices, cosmetics and VMS is to a high standard, completed on time and according to regulations, domestic and foreign reporting requirements, general quality standards, Global Standard Operating Procedures and Reckitt values. Ensuring that all electronic records and paper records and the safety database are managed and maintained accordingly as per Standard Operating Procedure with specific actions taken from the AE Management - Manager. Ensuring that output from the group is of high quality and quality checks completed and in line with relevant industry requirements and Standard Operating Procedures. Ensuring AE Management team requests/queries and tasks, including ad hoc, are completed in a timely manner and according to industry requirements and Standard Operating Procedures. Ensuring the GVG mailbox is monitored and managed on a daily basis (business days). Ensure that DSO in local operating countries receive support as appropriate for the management for safety reports and database requirements. Work with the AE Management - Manager to ensure that the third-party case processors receive documentation as appropriate for case processing. Training and support of third-party case processors members with guidance from the Team Leader. Ensuring that all reports of adverse events related to Reckitt's medicinal products, medical devices, cosmetics and VMS are processed in a timely fashion to ensure safety reports and PSURs are delivered to the appropriate regulatory authority on time and any ad hoc search requirements from the safety database can be delivered to the requester as required. Work with the AE Management - Manager to ensure that the SOP, working documents and other appropriate documentation are updated and current in line with standard operating procedures, industry regulations and direction from the Team Leader and senior management. Focus is allocated subject to business needs at the discretion of the manager. The experience we're looking for RAS experience across product classifications with an understanding of appropriate pharmacovigilance legislation, including but not exclusively the Good Pharmacovigilance Practice (GVP) Good attention to detail; prove ability to quality check and analyse medical and scientific dates including medical coding using regulatory dictionaries. Good communication skills and confidence in representing the functiona externally (audits/inspections with regulatory bodies), and internally (not limited to RAS); maintaning Reckitt's legal obligations and embedding safety requirements and output in all that Reckitt does. The skills for success Business Strategy, Task Execution Under Pressure, Makes strategic Business Decisions, Business accumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Intellectual Property, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing. What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
26/07/2026
Full time
AE Management Associate - 12 Month FTC City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development, we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within R&D, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role Vigilance is essential to guarantee the ongoing understanding of the profile of adverse events related to the use of Reckitt's medicinal products, medical devices, cosmetics and vitamins, minerals and supplements (VMS). This role is a crucial role since the post-holder is responsible for completing the key tasks in the provision of safety services and vigilance to facilitate and support the ongoing marketing of RECKITT medicinal products, medical devices, cosmetics and VMS. The safety function is a statutory function imposed by external regulators. Your responsibilities AE Management - Associate is accountable overall to the AE Management - Manager, Global PV & Deputy QPPV & Director- Risk Management & Vigilance, European Union (EU) QPPV and Senior Vigilance Manager. AE Management - Associate is directly accountable to, on a day-to-day basis, to the AE Management - Manager. Specific tasks and responsibilities include, but are not limited to: Working with the AE Management - Manager and under the executive guidance from senior management to ensure all responsibilities regarding the processing (triage/entry/coding/evaluation/reporting/admin) of adverse event reports related to Reckitt's medicinal products, medical devices, cosmetics and VMS is to a high standard, completed on time and according to regulations, domestic and foreign reporting requirements, general quality standards, Global Standard Operating Procedures and Reckitt values. Ensuring that all electronic records and paper records and the safety database are managed and maintained accordingly as per Standard Operating Procedure with specific actions taken from the AE Management - Manager. Ensuring that output from the group is of high quality and quality checks completed and in line with relevant industry requirements and Standard Operating Procedures. Ensuring AE Management team requests/queries and tasks, including ad hoc, are completed in a timely manner and according to industry requirements and Standard Operating Procedures. Ensuring the GVG mailbox is monitored and managed on a daily basis (business days). Ensure that DSO in local operating countries receive support as appropriate for the management for safety reports and database requirements. Work with the AE Management - Manager to ensure that the third-party case processors receive documentation as appropriate for case processing. Training and support of third-party case processors members with guidance from the Team Leader. Ensuring that all reports of adverse events related to Reckitt's medicinal products, medical devices, cosmetics and VMS are processed in a timely fashion to ensure safety reports and PSURs are delivered to the appropriate regulatory authority on time and any ad hoc search requirements from the safety database can be delivered to the requester as required. Work with the AE Management - Manager to ensure that the SOP, working documents and other appropriate documentation are updated and current in line with standard operating procedures, industry regulations and direction from the Team Leader and senior management. Focus is allocated subject to business needs at the discretion of the manager. The experience we're looking for RAS experience across product classifications with an understanding of appropriate pharmacovigilance legislation, including but not exclusively the Good Pharmacovigilance Practice (GVP) Good attention to detail; prove ability to quality check and analyse medical and scientific dates including medical coding using regulatory dictionaries. Good communication skills and confidence in representing the functiona externally (audits/inspections with regulatory bodies), and internally (not limited to RAS); maintaning Reckitt's legal obligations and embedding safety requirements and output in all that Reckitt does. The skills for success Business Strategy, Task Execution Under Pressure, Makes strategic Business Decisions, Business accumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Intellectual Property, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing. What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
Strolll exists to give people a new reality; that inspires them to believe in limitless human potential to overcome their most difficult rehabilitation challenges. Strolll is transforming the world of rehabilitation and physical therapy with its state-of-the-art software platform for augmented reality (AR) glasses; with a focus on individuals living with neurological disorders, such as Parkinson's disease, stroke and MS. Become the most used rehabilitation software in the world. Key Result: 7 million weekly rehab minutes by NYE 2029. About the Role As a Senior Data Scientist - Data & AI at Strolll, you will play a crucial role in understanding our Strolll Augmented Reality (AR) software solution application derived data including assessment and game metrics, device telemetry data. Your mission is to realise cutting-edge data that will make Strolll the most used rehabilitation software in the world. You will be an integral part of our Data & AI team, working closely with our immediate team of engineers focused on health algorithms and assessments, as well as the broader AR platform engineering, design, and Quality Assurance, clinical, and science teams. Our AR solution is multi-user and requires a physical space, therefore play-tests and feature evaluation requires a controlled physical environment. This role can be hybrid with a portion of your time working onsite in our dedicated office space, with the remainder from home, or fully remote for qualified candidates. You will need to be able travel to the company HQ in Stafford, UK regularly. This role reports to the VP - Data & AI. Key Responsibilities Advanced Data Analytics Expertise: Leverage deep experience with an analytics stack - such as Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure Machine Learning - to design and implement scalable, secure, and cost-effective analytical solutions. Drive insight generation and decision-making through cloud-native data science workflows. Fluency in Python, SQL & Spark for Analytics: Expert in Python, SQL, and Spark with a strong foundation in statistical modelling, data wrangling, and algorithmic thinking. Apply these tools to build reproducible analytics pipelines, conduct exploratory data analysis (EDA), and develop predictive models that inform clinical, scientific, and operational decisions. Insight-Driven Problem Solver: Thrive on solving complex analytical challenges - from hypothesis generation and data exploration to statistical inference and model deployment. Architect robust solutions that support clinical research, operational intelligence, and product innovation. Applied Statistical Modelling & Experimentation: Design and execute rigorous statistical analyses, A/B tests, and causal inference studies. Translate complex data into actionable insights using techniques such as regression, classification, time series forecasting, and Bayesian modelling. Build Analytical Data Products: Deliver high-quality, production-grade analytical outputs - including dashboards, curated datasets, and model-driven insights - that power clinical decision-making, product development, and strategic planning. Ensure outputs are interpretable, reproducible, and aligned with stakeholder needs. Version Control & Collaborative Development: Proficient in Git and Azure DevOps for collaborative analytics development. Comfortable with peer review workflows, CI/CD pipelines, and automated testing of analytical code using tools like pytest, Great Expectations, and dbt. Ensure Data Integrity & Analytical Quality: Strong skills in debugging data issues and validating analytical outputs. Use data observability tools and statistical diagnostics to ensure accuracy, reliability, and reproducibility across the analytics lifecycle. Optimize for Performance & Impact: Analyze and optimize analytical workflows for efficiency, scalability, and stakeholder impact. Tune Spark jobs, optimize SQL queries, and streamline model training and inference in Azure environments. Cross-Functional Collaboration: Partner with clinical, scientific, product, and engineering teams to understand domain-specific challenges and translate them into data science solutions. Collaborate with ML engineers and data engineers to ensure data readiness and model deployment. Contribute to patents and publications where applicable. Growth & Thought Leadership: Continuously expand expertise in data science, cloud-native analytics, and responsible AI. Share knowledge through mentorship, internal talks, and contributions to technical reviews and research efforts. Qualifications & Skills Required: As a Senior Data Scientist at Strolll we're looking for a candidate with proven, demonstrable experience from previous roles, having: MS or higher in Computer Science, Data Science or commensurate training and experience. Solid understanding of core programming and data engineering principles, including data types, data structures, algorithms, distributed systems, and cloud-native data architecture. Familiarity with machine/deep learning pipelines, wearable sensing data, and healthcare SaaS platforms - ideally within neurorehabilitation or adjacent clinical domains. 5+ years of experience in Data Science roles, with a strong track record of building and maintaining production-grade data pipelines, services, and platforms - preferably using SQL, R or Python and Azure technologies such as Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Event Hubs. Experience building, deploying, and supporting commercial-grade data analytics - including curated datasets, real-time data services, and analytics platforms - targeted at clinical assessments, scientific research, and patient-facing applications, across the full product lifecycle. Prior experience with streaming data architectures and real-time analytics using Azure stream Analytics, Kafka, or similar technologies. Experience working with clinically deployed applications, clinical research datasets, and regulatory-compliant data workflows (e.g., HIPAA, GDPR). Familiarity with data-centric AI, feature engineering, and ML model deployment in Azure ML or Databricks environments. Familiarity with deployment of SaaS tools in clinical health and rehabilitation or related fields. The pay range for this role is: 65,000 - 70,000 GBP per year (Strolll HQ)
25/07/2026
Full time
Strolll exists to give people a new reality; that inspires them to believe in limitless human potential to overcome their most difficult rehabilitation challenges. Strolll is transforming the world of rehabilitation and physical therapy with its state-of-the-art software platform for augmented reality (AR) glasses; with a focus on individuals living with neurological disorders, such as Parkinson's disease, stroke and MS. Become the most used rehabilitation software in the world. Key Result: 7 million weekly rehab minutes by NYE 2029. About the Role As a Senior Data Scientist - Data & AI at Strolll, you will play a crucial role in understanding our Strolll Augmented Reality (AR) software solution application derived data including assessment and game metrics, device telemetry data. Your mission is to realise cutting-edge data that will make Strolll the most used rehabilitation software in the world. You will be an integral part of our Data & AI team, working closely with our immediate team of engineers focused on health algorithms and assessments, as well as the broader AR platform engineering, design, and Quality Assurance, clinical, and science teams. Our AR solution is multi-user and requires a physical space, therefore play-tests and feature evaluation requires a controlled physical environment. This role can be hybrid with a portion of your time working onsite in our dedicated office space, with the remainder from home, or fully remote for qualified candidates. You will need to be able travel to the company HQ in Stafford, UK regularly. This role reports to the VP - Data & AI. Key Responsibilities Advanced Data Analytics Expertise: Leverage deep experience with an analytics stack - such as Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure Machine Learning - to design and implement scalable, secure, and cost-effective analytical solutions. Drive insight generation and decision-making through cloud-native data science workflows. Fluency in Python, SQL & Spark for Analytics: Expert in Python, SQL, and Spark with a strong foundation in statistical modelling, data wrangling, and algorithmic thinking. Apply these tools to build reproducible analytics pipelines, conduct exploratory data analysis (EDA), and develop predictive models that inform clinical, scientific, and operational decisions. Insight-Driven Problem Solver: Thrive on solving complex analytical challenges - from hypothesis generation and data exploration to statistical inference and model deployment. Architect robust solutions that support clinical research, operational intelligence, and product innovation. Applied Statistical Modelling & Experimentation: Design and execute rigorous statistical analyses, A/B tests, and causal inference studies. Translate complex data into actionable insights using techniques such as regression, classification, time series forecasting, and Bayesian modelling. Build Analytical Data Products: Deliver high-quality, production-grade analytical outputs - including dashboards, curated datasets, and model-driven insights - that power clinical decision-making, product development, and strategic planning. Ensure outputs are interpretable, reproducible, and aligned with stakeholder needs. Version Control & Collaborative Development: Proficient in Git and Azure DevOps for collaborative analytics development. Comfortable with peer review workflows, CI/CD pipelines, and automated testing of analytical code using tools like pytest, Great Expectations, and dbt. Ensure Data Integrity & Analytical Quality: Strong skills in debugging data issues and validating analytical outputs. Use data observability tools and statistical diagnostics to ensure accuracy, reliability, and reproducibility across the analytics lifecycle. Optimize for Performance & Impact: Analyze and optimize analytical workflows for efficiency, scalability, and stakeholder impact. Tune Spark jobs, optimize SQL queries, and streamline model training and inference in Azure environments. Cross-Functional Collaboration: Partner with clinical, scientific, product, and engineering teams to understand domain-specific challenges and translate them into data science solutions. Collaborate with ML engineers and data engineers to ensure data readiness and model deployment. Contribute to patents and publications where applicable. Growth & Thought Leadership: Continuously expand expertise in data science, cloud-native analytics, and responsible AI. Share knowledge through mentorship, internal talks, and contributions to technical reviews and research efforts. Qualifications & Skills Required: As a Senior Data Scientist at Strolll we're looking for a candidate with proven, demonstrable experience from previous roles, having: MS or higher in Computer Science, Data Science or commensurate training and experience. Solid understanding of core programming and data engineering principles, including data types, data structures, algorithms, distributed systems, and cloud-native data architecture. Familiarity with machine/deep learning pipelines, wearable sensing data, and healthcare SaaS platforms - ideally within neurorehabilitation or adjacent clinical domains. 5+ years of experience in Data Science roles, with a strong track record of building and maintaining production-grade data pipelines, services, and platforms - preferably using SQL, R or Python and Azure technologies such as Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Event Hubs. Experience building, deploying, and supporting commercial-grade data analytics - including curated datasets, real-time data services, and analytics platforms - targeted at clinical assessments, scientific research, and patient-facing applications, across the full product lifecycle. Prior experience with streaming data architectures and real-time analytics using Azure stream Analytics, Kafka, or similar technologies. Experience working with clinically deployed applications, clinical research datasets, and regulatory-compliant data workflows (e.g., HIPAA, GDPR). Familiarity with data-centric AI, feature engineering, and ML model deployment in Azure ML or Databricks environments. Familiarity with deployment of SaaS tools in clinical health and rehabilitation or related fields. The pay range for this role is: 65,000 - 70,000 GBP per year (Strolll HQ)
Strolll HQ in Stafford, UK is seeking a Senior Data Scientist - Data & AI to extract insights from our AR software-derived data, including assessments and game metrics, to help make Strolll the most used rehabilitation software in the world. You will collaborate with engineers, clinical teams, and platform teams across health algorithms, design, QA, and science, with a hybrid work arrangement and regular travel to the Stafford office.
25/07/2026
Full time
Strolll HQ in Stafford, UK is seeking a Senior Data Scientist - Data & AI to extract insights from our AR software-derived data, including assessments and game metrics, to help make Strolll the most used rehabilitation software in the world. You will collaborate with engineers, clinical teams, and platform teams across health algorithms, design, QA, and science, with a hybrid work arrangement and regular travel to the Stafford office.
Senior Data Scientist ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. As a Senior Data Scientist, you will be dedicated to one of our global pharmaceutical clients, a company that values performance, recognizes merit and has a high focus on quality. This environment encourages innovation, individuality and embraces people that want to be a part of it. . What You Will Do: The Senior Data Scientist is responsible for contributing to the development of the strategy for Analytics, Reporting and Metrics building in line with overall Business Information Services strategy leveraging visualization tools/business intelligence platforms. Your role will include the following: Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Leveraging business intelligence tools i.e Spotfire for analysis and review. Develop custom data models and algorithms to apply to data sets. Providing specialist support for development, interpretation and application of machine learning models Applying analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools Work with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Liaising, advising and negotiating with key customer groups on requirements and proposing innovative solutions to meet their data modelling requirements Responsible for the development and implementation of capabilities to make provisioning of routine requests more routine, structured and efficient Contributing to initiatives that enable faster and more effective data modelling/analysis and provisioning Ensuring systems and code, documentation are inspection ready Your Profile: A solutions orientated, analytical and customer focused individual with a global business mind set and a strong background in operational excellence! Here at ICON we want our employees to succeed and ensure that they are set up for this success through constant training, development and support. To enable success in this position you will have: 3+ years of experience manipulating data sets and building statistical models, has a bachelor degree in Computer Science or related field. Experience using statistical computer languages Python & SQL (R Considered) to manipulate data and draw insights from large data sets. Experience with cloud and data platforms such as Microsoft Azure, AWS, Snowflake, Databricks, or similar technologies would be advantageous. Experience of clinical data and domains (Experience working within Clinical Trials or the wider Pharmaceutical industry) preferable but not necessary Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here
25/07/2026
Full time
Senior Data Scientist ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. As a Senior Data Scientist, you will be dedicated to one of our global pharmaceutical clients, a company that values performance, recognizes merit and has a high focus on quality. This environment encourages innovation, individuality and embraces people that want to be a part of it. . What You Will Do: The Senior Data Scientist is responsible for contributing to the development of the strategy for Analytics, Reporting and Metrics building in line with overall Business Information Services strategy leveraging visualization tools/business intelligence platforms. Your role will include the following: Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Leveraging business intelligence tools i.e Spotfire for analysis and review. Develop custom data models and algorithms to apply to data sets. Providing specialist support for development, interpretation and application of machine learning models Applying analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools Work with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Liaising, advising and negotiating with key customer groups on requirements and proposing innovative solutions to meet their data modelling requirements Responsible for the development and implementation of capabilities to make provisioning of routine requests more routine, structured and efficient Contributing to initiatives that enable faster and more effective data modelling/analysis and provisioning Ensuring systems and code, documentation are inspection ready Your Profile: A solutions orientated, analytical and customer focused individual with a global business mind set and a strong background in operational excellence! Here at ICON we want our employees to succeed and ensure that they are set up for this success through constant training, development and support. To enable success in this position you will have: 3+ years of experience manipulating data sets and building statistical models, has a bachelor degree in Computer Science or related field. Experience using statistical computer languages Python & SQL (R Considered) to manipulate data and draw insights from large data sets. Experience with cloud and data platforms such as Microsoft Azure, AWS, Snowflake, Databricks, or similar technologies would be advantageous. Experience of clinical data and domains (Experience working within Clinical Trials or the wider Pharmaceutical industry) preferable but not necessary Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here
ICON plc, a world-leading healthcare intelligence and clinical research organization, is seeking a Senior Data Scientist to drive analytics strategy for one of our global pharmaceutical clients. You will design models, build data-driven insights and collaborate with cross-functional teams. You should have 3+ years of data science experience, strong Python and SQL skills, experience with cloud platforms, and a track record of deploying machine learning solutions.
25/07/2026
Full time
ICON plc, a world-leading healthcare intelligence and clinical research organization, is seeking a Senior Data Scientist to drive analytics strategy for one of our global pharmaceutical clients. You will design models, build data-driven insights and collaborate with cross-functional teams. You should have 3+ years of data science experience, strong Python and SQL skills, experience with cloud platforms, and a track record of deploying machine learning solutions.
About Meridial Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not for profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA). About the role Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi photon microscopy platform. This is a broad hands on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near term priority is maintaining, debugging, and extending our existing MATLAB based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function. Key Responsibilities Own and evolve the microscope software stack, from low level hardware control to user interfaces and real time analysis layers Maintain, debug, and extend the existing MATLAB codebase as the near term priority, keeping experimental workflows unblocked Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems Collaborate with FPGA engineering to define and implement software control and acquisition architectures Work across software and mechatronics boundaries - stages, robotic platforms, motion control, inverse kinematics, and collision avoidance Build and evolve real time and offline image analysis pipelines supporting the full experimental workflow Work with the team to translate scientific requirements into robust software systems Contribute to longer term architectural evolution - modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems Required Qualifications Strong background in software engineering for hardware integrated or instrumentation systems Experience with Python for data analysis and pipeline development Experience designing modular software architectures: layered systems, clean APIs, separation of concerns Experience interfacing software with hardware: data acquisition, control systems, synchronisation Ability to work across abstraction layers, from low level control to higher level application logic Strong debugging and problem solving skills across software, hardware, and system level interactions Preferred Qualifications Degree in Computer Science, Software Engineering or related field Genuine scientific curiosity - an interest in neuroscience, imaging, or the underlying biology is a real advantage Experience with scientific instrumentation, microscopy, or imaging systems Proficiency in systems level programming - Rust, C, or C++ - with a focus on performance, reliability, and maintainability Exposure to large scale or longitudinal data processing (e.g. volumetric or time series datasets) Experience refactoring or migrating software into modern architectures Familiarity with motion control, robotics, or kinematic systems Experience working with or alongside FPGA based systems Physical Demands Fine motor skills for operating computers and lab/instrumentation tools Position Type / Schedule Full time, 40 hours per week Lab location based in London or Cambridge - ability to travel to both preferred Work arrangement: Hybrid with expected regular onsite presence Salary: 85,000 - 100,000 GBP per year. We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.
24/07/2026
Full time
About Meridial Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not for profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA). About the role Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi photon microscopy platform. This is a broad hands on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near term priority is maintaining, debugging, and extending our existing MATLAB based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function. Key Responsibilities Own and evolve the microscope software stack, from low level hardware control to user interfaces and real time analysis layers Maintain, debug, and extend the existing MATLAB codebase as the near term priority, keeping experimental workflows unblocked Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems Collaborate with FPGA engineering to define and implement software control and acquisition architectures Work across software and mechatronics boundaries - stages, robotic platforms, motion control, inverse kinematics, and collision avoidance Build and evolve real time and offline image analysis pipelines supporting the full experimental workflow Work with the team to translate scientific requirements into robust software systems Contribute to longer term architectural evolution - modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems Required Qualifications Strong background in software engineering for hardware integrated or instrumentation systems Experience with Python for data analysis and pipeline development Experience designing modular software architectures: layered systems, clean APIs, separation of concerns Experience interfacing software with hardware: data acquisition, control systems, synchronisation Ability to work across abstraction layers, from low level control to higher level application logic Strong debugging and problem solving skills across software, hardware, and system level interactions Preferred Qualifications Degree in Computer Science, Software Engineering or related field Genuine scientific curiosity - an interest in neuroscience, imaging, or the underlying biology is a real advantage Experience with scientific instrumentation, microscopy, or imaging systems Proficiency in systems level programming - Rust, C, or C++ - with a focus on performance, reliability, and maintainability Exposure to large scale or longitudinal data processing (e.g. volumetric or time series datasets) Experience refactoring or migrating software into modern architectures Familiarity with motion control, robotics, or kinematic systems Experience working with or alongside FPGA based systems Physical Demands Fine motor skills for operating computers and lab/instrumentation tools Position Type / Schedule Full time, 40 hours per week Lab location based in London or Cambridge - ability to travel to both preferred Work arrangement: Hybrid with expected regular onsite presence Salary: 85,000 - 100,000 GBP per year. We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.
About Meridial Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse-resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not-for-profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA). About the role Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi-photon microscopy platform. This is a broad hands on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near-term priority is maintaining, debugging, and extending our existing MATLAB-based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function. Key Responsibilities Own and evolve the microscope software stack, from low-level hardware control to user interfaces and real-time analysis layers Maintain, debug, and extend the existing MATLAB codebase as the near-term priority, keeping experimental workflows unblocked Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems Collaborate with FPGA engineering to define and implement software control and acquisition architectures Work across software and mechatronics boundaries - stages, robotic platforms, motion control, inverse kinematics, and collision avoidance Build and evolve real-time and offline image analysis pipelines supporting the full experimental workflow Work with the team to translate scientific requirements into robust software systems Contribute to longer-term architectural evolution - modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems Required Qualifications Strong background in software engineering for hardware-integrated or instrumentation systems Experience with Python for data analysis and pipeline development Experience designing modular software architectures: layered systems, clean APIs, separation of concerns Experience interfacing software with hardware: data acquisition, control systems, synchronisation Ability to work across abstraction layers, from low-level control to higher-level application logic Strong debugging and problem-solving skills across software, hardware, and system-level interactions Preferred Qualifications Degree in Computer Science, Software Engineering or related field Genuine scientific curiosity - an interest in neuroscience, imaging, or the underlying biology is a real advantage Experience with scientific instrumentation, microscopy, or imaging systems Proficiency in systems level programming - Rust, C, or C++ - with a focus on performance, reliability, and maintainability Exposure to large-scale or longitudinal data processing (e.g. volumetric or time-series datasets) Experience refactoring or migrating software into modern architectures Familiarity with motion control, robotics, or kinematic systems Experience working with or alongside FPGA-based systems Physical Demands Fine motor skills for operating computers and lab/instrumentation tools Position Type / Schedule Full-time, 40 hours/week Lab location based in London or Cambridge - ability to travel to both preferred Work arrangement: Hybrid with expected regular onsite presence Additional Information Application materials: CV/resume + cover letter + 2 references For exceptional candidates, we will consider sponsoring visas and supporting relocation Compensation: competitive salary commensurate with experience Generous Benefits will be communicated in interviews £85,000 - £100,000 a year We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.
24/07/2026
Full time
About Meridial Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse-resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not-for-profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA). About the role Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi-photon microscopy platform. This is a broad hands on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near-term priority is maintaining, debugging, and extending our existing MATLAB-based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function. Key Responsibilities Own and evolve the microscope software stack, from low-level hardware control to user interfaces and real-time analysis layers Maintain, debug, and extend the existing MATLAB codebase as the near-term priority, keeping experimental workflows unblocked Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems Collaborate with FPGA engineering to define and implement software control and acquisition architectures Work across software and mechatronics boundaries - stages, robotic platforms, motion control, inverse kinematics, and collision avoidance Build and evolve real-time and offline image analysis pipelines supporting the full experimental workflow Work with the team to translate scientific requirements into robust software systems Contribute to longer-term architectural evolution - modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems Required Qualifications Strong background in software engineering for hardware-integrated or instrumentation systems Experience with Python for data analysis and pipeline development Experience designing modular software architectures: layered systems, clean APIs, separation of concerns Experience interfacing software with hardware: data acquisition, control systems, synchronisation Ability to work across abstraction layers, from low-level control to higher-level application logic Strong debugging and problem-solving skills across software, hardware, and system-level interactions Preferred Qualifications Degree in Computer Science, Software Engineering or related field Genuine scientific curiosity - an interest in neuroscience, imaging, or the underlying biology is a real advantage Experience with scientific instrumentation, microscopy, or imaging systems Proficiency in systems level programming - Rust, C, or C++ - with a focus on performance, reliability, and maintainability Exposure to large-scale or longitudinal data processing (e.g. volumetric or time-series datasets) Experience refactoring or migrating software into modern architectures Familiarity with motion control, robotics, or kinematic systems Experience working with or alongside FPGA-based systems Physical Demands Fine motor skills for operating computers and lab/instrumentation tools Position Type / Schedule Full-time, 40 hours/week Lab location based in London or Cambridge - ability to travel to both preferred Work arrangement: Hybrid with expected regular onsite presence Additional Information Application materials: CV/resume + cover letter + 2 references For exceptional candidates, we will consider sponsoring visas and supporting relocation Compensation: competitive salary commensurate with experience Generous Benefits will be communicated in interviews £85,000 - £100,000 a year We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.
IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the "4A" values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring an experienced and passionate Business Analyst to join our dynamic team on a permanent full-time capacity. Purpose of the Role: The Business Analyst role will play a key role in shaping solutions that meet business needs and support strategic objectives. Working closely with stakeholders, developers and cross-functional teams, the role holder will lead business analysis activities across the full delivery lifecycle, applying Agile principles to drive collaboration, clarity and continuous improvement. The role holder will be expected to lead a small sub team of developers, coordinate Agile ceremonies, improve standards and team efficiency, and translate complex business needs into clear requirements, process models and solution designs. The role requires strong stakeholder engagement, confidence in facilitating workshops and meetings, and a solid understanding of APIs, client web applications, UML and data models. The role holder will also work closely with the VP Business Solution to build prototypes that help elicit stronger requirements from the business and provide developers and testers with a clearer view of how solutions should look and operate. Duties and responsibilities Lead business analysis activities across projects and initiatives, ensuring business needs are understood, documented and translated into effective solutions. Leadasmallsubteamofdevelopers,providingdirection,promotingcollaborationandsupportingdeliveryinlinewithagreedpriorities. Coordinate and facilitate Agile ceremonies including backlog refinement, sprint planning, daily stand-ups, reviews and retrospectives. Work with stakeholders confidently to elicit, analyse and challenge business requirements through effective questioning and structured discussion. Produce clear and well-structured requirements, user stories, acceptance criteria, process flows and supporting analysis documentation. Use Gherkin-style acceptance criteria where appropriate to improve requirement clarity and support collaboration with developers and testers. Work with the VP Business Solutions to build solution prototypes that help the business visualise proposed outcomes, improve requirements elicitation, and support a shared understanding across delivery teams. Supportdevelopersandtestersbyprovidingclearguidanceonhowthesolutionshouldlook,behaveandoperateinpractice. Act as an advocate for continuous improvement, driving higher standards, better ways of working and increased team efficiency. Collaborate with technical teams to define solution options and ensure requirements are feasible, well understood and aligned to business goals. ApplyworkingknowledgeofAPIs,clientwebapplicationsandAzureDevOpswhenanalysingsystembehaviour,managingrequirementsandsupportingdeliveryworkflows. BecomfortableusingmoderntoolingsuchasClaudeCodetosupportanalysis,solutionexplorationanddeliverycollaborationwhereappropriate. Draft basic UML diagrams and other analysis artefacts to support communication of processes, interactions and solution design. Develop and maintain a strong understanding of data models to support requirements analysis, data mapping and process improvement. Support successful delivery by identifying risks, dependencies, assumptions and opportunities early, and working proactively to address them. Qualifications and skills required for the role: ProvenexperienceasaBusinessAnalyst,withdemonstrableexperienceoperatingataseniororleadlevel. StrongunderstandingofAgileprinciplesandpracticalexperiencecoordinatingAgileceremonieswithindeliveryteams. Excellent requirements elicitation skills, including the ability to probe beyond initial statements to uncover underlying business needs. Confident stakeholder engagement and facilitation skills, with the ability to lead meetings, workshops and discussions effectively. Experience working with the VP Business Solutions or similar senior stakeholders to shape solution thinking and build prototypes that improve requirements quality. Good working knowledge of APIs and system integrations, with the ability to support analysis of technical dependencies and interfaces. Workingknowledgeofclientwebapplicationsandhowfront-endbehavioursupportsbusinessprocessesanduserneeds. AbilitytocreatebasicUMLdiagramsandotherstructuredanalysismodels. Excellent understanding of data models and the ability to analyse how data supports business processes and reporting needs. Commitment to improving standards, team effectiveness and delivery quality through continuous improvement and best practice. Experiencesupportingthedesignorevolutionofclient-facingwebapplications. FamiliaritywithUML,dataanalysisanddatamappingtechniques. Relevantbusinessanalysiscertificationorprofessionaltrainingwouldbeadvantageous. Other Excellent written and verbal communication skills, including the ability to translate complex concepts for both technical and non-technical audiences. Stronganalyticalthinking,attentiontodetailandproblem-solvingcapability. Abilitytobuildcredibilityandstrongworkingrelationshipswithstakeholdersatdifferentlevelsoftheorganisation. Proactive mindset with a focus on collaboration, ownership and continuous improvement. Staff Annual Bonus Plans and Annual Salary Review. Generous employer pension contribution of 6%. 25 days annual leave, increasing up to 28 days with every year at IXICO. BUPA private medical insurance scheme. Life Assurance of 4x annual salary. Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment. Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties. Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training. Employee Assistance Programme offering advice and support on a wide range of topics. Hybrid working model pattern split between working in the City of London and remotely. Reimbursement allowance to purchase equipment to support working from home. Generous employee referral scheme offering £2,000 for referring a successful candidate to the company. Financial assistance for professional qualifications. Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn't discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a motivated and passionate Business Analyst to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV and covering letter by email to or apply directly via LinkedIn. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outline recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact .
20/07/2026
Full time
IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the "4A" values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring an experienced and passionate Business Analyst to join our dynamic team on a permanent full-time capacity. Purpose of the Role: The Business Analyst role will play a key role in shaping solutions that meet business needs and support strategic objectives. Working closely with stakeholders, developers and cross-functional teams, the role holder will lead business analysis activities across the full delivery lifecycle, applying Agile principles to drive collaboration, clarity and continuous improvement. The role holder will be expected to lead a small sub team of developers, coordinate Agile ceremonies, improve standards and team efficiency, and translate complex business needs into clear requirements, process models and solution designs. The role requires strong stakeholder engagement, confidence in facilitating workshops and meetings, and a solid understanding of APIs, client web applications, UML and data models. The role holder will also work closely with the VP Business Solution to build prototypes that help elicit stronger requirements from the business and provide developers and testers with a clearer view of how solutions should look and operate. Duties and responsibilities Lead business analysis activities across projects and initiatives, ensuring business needs are understood, documented and translated into effective solutions. Leadasmallsubteamofdevelopers,providingdirection,promotingcollaborationandsupportingdeliveryinlinewithagreedpriorities. Coordinate and facilitate Agile ceremonies including backlog refinement, sprint planning, daily stand-ups, reviews and retrospectives. Work with stakeholders confidently to elicit, analyse and challenge business requirements through effective questioning and structured discussion. Produce clear and well-structured requirements, user stories, acceptance criteria, process flows and supporting analysis documentation. Use Gherkin-style acceptance criteria where appropriate to improve requirement clarity and support collaboration with developers and testers. Work with the VP Business Solutions to build solution prototypes that help the business visualise proposed outcomes, improve requirements elicitation, and support a shared understanding across delivery teams. Supportdevelopersandtestersbyprovidingclearguidanceonhowthesolutionshouldlook,behaveandoperateinpractice. Act as an advocate for continuous improvement, driving higher standards, better ways of working and increased team efficiency. Collaborate with technical teams to define solution options and ensure requirements are feasible, well understood and aligned to business goals. ApplyworkingknowledgeofAPIs,clientwebapplicationsandAzureDevOpswhenanalysingsystembehaviour,managingrequirementsandsupportingdeliveryworkflows. BecomfortableusingmoderntoolingsuchasClaudeCodetosupportanalysis,solutionexplorationanddeliverycollaborationwhereappropriate. Draft basic UML diagrams and other analysis artefacts to support communication of processes, interactions and solution design. Develop and maintain a strong understanding of data models to support requirements analysis, data mapping and process improvement. Support successful delivery by identifying risks, dependencies, assumptions and opportunities early, and working proactively to address them. Qualifications and skills required for the role: ProvenexperienceasaBusinessAnalyst,withdemonstrableexperienceoperatingataseniororleadlevel. StrongunderstandingofAgileprinciplesandpracticalexperiencecoordinatingAgileceremonieswithindeliveryteams. Excellent requirements elicitation skills, including the ability to probe beyond initial statements to uncover underlying business needs. Confident stakeholder engagement and facilitation skills, with the ability to lead meetings, workshops and discussions effectively. Experience working with the VP Business Solutions or similar senior stakeholders to shape solution thinking and build prototypes that improve requirements quality. Good working knowledge of APIs and system integrations, with the ability to support analysis of technical dependencies and interfaces. Workingknowledgeofclientwebapplicationsandhowfront-endbehavioursupportsbusinessprocessesanduserneeds. AbilitytocreatebasicUMLdiagramsandotherstructuredanalysismodels. Excellent understanding of data models and the ability to analyse how data supports business processes and reporting needs. Commitment to improving standards, team effectiveness and delivery quality through continuous improvement and best practice. Experiencesupportingthedesignorevolutionofclient-facingwebapplications. FamiliaritywithUML,dataanalysisanddatamappingtechniques. Relevantbusinessanalysiscertificationorprofessionaltrainingwouldbeadvantageous. Other Excellent written and verbal communication skills, including the ability to translate complex concepts for both technical and non-technical audiences. Stronganalyticalthinking,attentiontodetailandproblem-solvingcapability. Abilitytobuildcredibilityandstrongworkingrelationshipswithstakeholdersatdifferentlevelsoftheorganisation. Proactive mindset with a focus on collaboration, ownership and continuous improvement. Staff Annual Bonus Plans and Annual Salary Review. Generous employer pension contribution of 6%. 25 days annual leave, increasing up to 28 days with every year at IXICO. BUPA private medical insurance scheme. Life Assurance of 4x annual salary. Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment. Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties. Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training. Employee Assistance Programme offering advice and support on a wide range of topics. Hybrid working model pattern split between working in the City of London and remotely. Reimbursement allowance to purchase equipment to support working from home. Generous employee referral scheme offering £2,000 for referring a successful candidate to the company. Financial assistance for professional qualifications. Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn't discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a motivated and passionate Business Analyst to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV and covering letter by email to or apply directly via LinkedIn. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outline recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact .
GlaxoSmithKline in the United Kingdom is seeking a Senior Director of Translational Genetics to lead a team of scientists within the R&D Translational Sciences organization. The role combines strategic leadership with deep statistical genetics expertise to deliver data-driven insights that accelerate drug discovery across priority therapeutic areas. You will guide target discovery and validation, integrate genetics with genomics and clinical data, and foster external collaborations while
18/07/2026
Full time
GlaxoSmithKline in the United Kingdom is seeking a Senior Director of Translational Genetics to lead a team of scientists within the R&D Translational Sciences organization. The role combines strategic leadership with deep statistical genetics expertise to deliver data-driven insights that accelerate drug discovery across priority therapeutic areas. You will guide target discovery and validation, integrate genetics with genomics and clinical data, and foster external collaborations while
Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About Our Team Our global team supports products in education, electronic health records, and data discovery that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge discovery applications. Develop LLM powered workflows and retrieval augmented generation (RAG) systems for search, summarization, question answering, and evidence grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands on experience building AI/ML, NLP, generative AI, and retrieval based systems in applied or product focused environments. Expertise working with LLMs, including fine tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large scale text or content rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Benefits & Working Pattern We promote a healthy work/life balance and offer flexible hours, allowing you to schedule work around your most productive times. Our wellbeing initiatives, shared parental leave, study assistance, and sabbaticals help you meet both immediate responsibilities and long term goals. Equal Opportunity Statement We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
16/07/2026
Full time
Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About Our Team Our global team supports products in education, electronic health records, and data discovery that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge discovery applications. Develop LLM powered workflows and retrieval augmented generation (RAG) systems for search, summarization, question answering, and evidence grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands on experience building AI/ML, NLP, generative AI, and retrieval based systems in applied or product focused environments. Expertise working with LLMs, including fine tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large scale text or content rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Benefits & Working Pattern We promote a healthy work/life balance and offer flexible hours, allowing you to schedule work around your most productive times. Our wellbeing initiatives, shared parental leave, study assistance, and sabbaticals help you meet both immediate responsibilities and long term goals. Equal Opportunity Statement We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
12/07/2026
Full time
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
PURPOSE A Senior Product Manager is responsible for leading the development and execution of the product strategy within a Squad towards desired outcomes. Product Managers work as part of a product trio, consisting of a Product Designer and Engineering Manager, across the product lifecycle to solve real problems for customers in ways that meet the needs of the business. This individual will report to the Product Lead - Artificial Intelligence and work cross-functionally to collaborate with all areas of the business. The product manager's role is to take holistic responsibility for their product area to define success and create the framework for decision-making. A product manager is responsible for evaluating opportunities and determining what gets built by the Squad and delivered to customers and users. This means managing the product backlog and ensuring what gets built is truly worth building. COMPETENCIES Technical Competencies Product management - Manage the full product life cycle to ensure that customer/user needs are met, including the use of various inputs to understand needs and opportunities, and ownership of the product backlog. Global approach - encourage a global view on initiating and delivering SW to meet global needs, laws and regulations. AI / ML - expertise in SW products enabled via one or more of the following technologies: artificial intelligence/machine learning, medical image analysis, NLP, big data, etc. Other Competencies (Behavioural, Leadership) Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies. Cultivates innovation - Creating new and better ways for the organisation to be successful. Drives results - Consistently achieving results, even under tough circumstances. Decision quality - Making good and timely decisions that keep the organisation moving forward. Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity. Situational adaptability - Adapting approach and demeanour in real time to match the shifting demands of different situations. MINIMUM QUALIFICATIONS (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the education, experience, knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.) Education Bachelor's degree or higher in Computer Sciences, Business Administration, Engineering, or other related field (or equivalent and related experience). Experience 8-10 years of experience in software product management, either as a product manager, product owner, data scientist, software engineer, or in a role associated with software development 5-8 years of experience in building and clearing Software as Medical Devices, with knowledge of Medical Devices Quality Management and Product Lifecycle Management processes 5+ years of experience working on products across the full product lifecycle (conception, development, go-to-market, and post launch support). 5+ years of experience in agile software development methodologies or related activities Strong communication skills and ability to influence colleagues. Experience leading complex, cross-functional projects. Ability to influence and drive results in cross-functional teams. Skills Team-oriented Fluent in English - written and verbal. Excellent communication and interpersonal skills Strong problem-solving and analytical skills Ability to manage multiple global projects simultaneously Strong leadership and decision-making skills Passion for technology and for delivering high-quality products What makes you stand out: Global experience - ability to empathise with different cultures and organisational set ups. Deep understanding of healthcare, endoscopy, medical imaging products and clinical workflows is desirable. Proven track record of product ownership from concept to broad launch in the healthcare industry MS, or PhD or MBA or relevant advanced degree Additional fluency in a European Language (like German, Spanish, etc.) or Japanese is an asset.
12/07/2026
Full time
PURPOSE A Senior Product Manager is responsible for leading the development and execution of the product strategy within a Squad towards desired outcomes. Product Managers work as part of a product trio, consisting of a Product Designer and Engineering Manager, across the product lifecycle to solve real problems for customers in ways that meet the needs of the business. This individual will report to the Product Lead - Artificial Intelligence and work cross-functionally to collaborate with all areas of the business. The product manager's role is to take holistic responsibility for their product area to define success and create the framework for decision-making. A product manager is responsible for evaluating opportunities and determining what gets built by the Squad and delivered to customers and users. This means managing the product backlog and ensuring what gets built is truly worth building. COMPETENCIES Technical Competencies Product management - Manage the full product life cycle to ensure that customer/user needs are met, including the use of various inputs to understand needs and opportunities, and ownership of the product backlog. Global approach - encourage a global view on initiating and delivering SW to meet global needs, laws and regulations. AI / ML - expertise in SW products enabled via one or more of the following technologies: artificial intelligence/machine learning, medical image analysis, NLP, big data, etc. Other Competencies (Behavioural, Leadership) Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies. Cultivates innovation - Creating new and better ways for the organisation to be successful. Drives results - Consistently achieving results, even under tough circumstances. Decision quality - Making good and timely decisions that keep the organisation moving forward. Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity. Situational adaptability - Adapting approach and demeanour in real time to match the shifting demands of different situations. MINIMUM QUALIFICATIONS (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the education, experience, knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.) Education Bachelor's degree or higher in Computer Sciences, Business Administration, Engineering, or other related field (or equivalent and related experience). Experience 8-10 years of experience in software product management, either as a product manager, product owner, data scientist, software engineer, or in a role associated with software development 5-8 years of experience in building and clearing Software as Medical Devices, with knowledge of Medical Devices Quality Management and Product Lifecycle Management processes 5+ years of experience working on products across the full product lifecycle (conception, development, go-to-market, and post launch support). 5+ years of experience in agile software development methodologies or related activities Strong communication skills and ability to influence colleagues. Experience leading complex, cross-functional projects. Ability to influence and drive results in cross-functional teams. Skills Team-oriented Fluent in English - written and verbal. Excellent communication and interpersonal skills Strong problem-solving and analytical skills Ability to manage multiple global projects simultaneously Strong leadership and decision-making skills Passion for technology and for delivering high-quality products What makes you stand out: Global experience - ability to empathise with different cultures and organisational set ups. Deep understanding of healthcare, endoscopy, medical imaging products and clinical workflows is desirable. Proven track record of product ownership from concept to broad launch in the healthcare industry MS, or PhD or MBA or relevant advanced degree Additional fluency in a European Language (like German, Spanish, etc.) or Japanese is an asset.
Senior Director, Translational Genetics We are seeking a highly experienced, motivated and innovative individual to join us as a Senior Director in Translational Genetics, part of the broader GSK R&D Translational Sciences organisation. The successful candidate will lead a team of translational genetics scientists, providing strategic leadership combined with deep analytical expertise in a dynamic and highly collaborative environment. The team will support target assessments across our priority therapeutic areas and be accountable for understanding and addressing prioritised translational questions relevant to our portfolio, frequently involving innovative thinking and novel analytic approaches. You will have strong expertise in association genetics with emphasis on leveraging statistical genetics approaches to address translational questions, and demonstrable experience of addressing key scientific questions via integration of genetics with genomics (especially proteomics) and clinical phenotypic data. Your work will inform target discovery and validation, biomarker discovery, indication and patient subgroup selection, and further our understanding of the pathobiology of specific diseases. The successful candidate should have line management experience. The team will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and leaders from a broad range of functions to advance drug discovery and clinical development. External collaborations with academics and institutions will be encouraged and supported. Key Accountabilities / Responsibilities Provide strategic leadership to set the direction of your team, identify and deliver key translational activities, and ensure alignment with evolving organisational priorities. Utilise deep expertise in genetic analysis and integration with genomic (including proteomics) and clinical phenotypic data to address targeted translational scientific questions and generate disease relevant insights. Provide hands on analytical expertise to accelerate the delivery of work packages that impact the GSK drug development pipeline. Work within and lead cross functional GSK project teams, with emphasis on respiratory, hepatology, neurodegeneration, immunology and/or renal disease. Identify, set up and oversee externally aligned scientific collaborations. Communicate analysis findings effectively to project teams and senior leaders. Deliver personal and team deliverables against objectives with strong statistical, analytic and critical thinking skills in a translational context. Stay up to date with advances and emerging technologies and methodologies in translational genetics, particularly the integration of genetics with genomics. Lead a team of direct reports and foster a culture of innovation, collaboration and continuous professional learning. Basic Qualifications PhD or equivalent advanced degree in a relevant scientific discipline (e.g. statistical genetics, genetic epidemiology, biomedical statistics, computational sciences, bioinformatics or machine learning) with a history of impactful scientific publications and/or presentations. Experience conducting analyses that integrate genetics, genomics and/or clinical phenotypic data to address scientific questions relevant to drug discovery and development. Experience working effectively in multidisciplinary teams involving stakeholders from across functions. Expertise in communicating complex scientific concepts to diverse audiences. Advanced expertise in understanding key scientific questions and developing innovative analytical solutions to comprehensively address them. Experience driving the development and implementation of new methodologies to integrate genetics and genomics for translational questions. Experience setting up and overseeing external collaborations and ensuring delivery of impact. Skilled at dynamic prioritisation of resources and working flexibly to align with organisational priorities. Successfully leading and managing a high performance team. Strong proficiency in at least one of R and Python, with a track record of writing reproducible and scalable code that abides by FAIR principles. Demonstrable understanding of the stages of drug discovery and development. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
10/07/2026
Full time
Senior Director, Translational Genetics We are seeking a highly experienced, motivated and innovative individual to join us as a Senior Director in Translational Genetics, part of the broader GSK R&D Translational Sciences organisation. The successful candidate will lead a team of translational genetics scientists, providing strategic leadership combined with deep analytical expertise in a dynamic and highly collaborative environment. The team will support target assessments across our priority therapeutic areas and be accountable for understanding and addressing prioritised translational questions relevant to our portfolio, frequently involving innovative thinking and novel analytic approaches. You will have strong expertise in association genetics with emphasis on leveraging statistical genetics approaches to address translational questions, and demonstrable experience of addressing key scientific questions via integration of genetics with genomics (especially proteomics) and clinical phenotypic data. Your work will inform target discovery and validation, biomarker discovery, indication and patient subgroup selection, and further our understanding of the pathobiology of specific diseases. The successful candidate should have line management experience. The team will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and leaders from a broad range of functions to advance drug discovery and clinical development. External collaborations with academics and institutions will be encouraged and supported. Key Accountabilities / Responsibilities Provide strategic leadership to set the direction of your team, identify and deliver key translational activities, and ensure alignment with evolving organisational priorities. Utilise deep expertise in genetic analysis and integration with genomic (including proteomics) and clinical phenotypic data to address targeted translational scientific questions and generate disease relevant insights. Provide hands on analytical expertise to accelerate the delivery of work packages that impact the GSK drug development pipeline. Work within and lead cross functional GSK project teams, with emphasis on respiratory, hepatology, neurodegeneration, immunology and/or renal disease. Identify, set up and oversee externally aligned scientific collaborations. Communicate analysis findings effectively to project teams and senior leaders. Deliver personal and team deliverables against objectives with strong statistical, analytic and critical thinking skills in a translational context. Stay up to date with advances and emerging technologies and methodologies in translational genetics, particularly the integration of genetics with genomics. Lead a team of direct reports and foster a culture of innovation, collaboration and continuous professional learning. Basic Qualifications PhD or equivalent advanced degree in a relevant scientific discipline (e.g. statistical genetics, genetic epidemiology, biomedical statistics, computational sciences, bioinformatics or machine learning) with a history of impactful scientific publications and/or presentations. Experience conducting analyses that integrate genetics, genomics and/or clinical phenotypic data to address scientific questions relevant to drug discovery and development. Experience working effectively in multidisciplinary teams involving stakeholders from across functions. Expertise in communicating complex scientific concepts to diverse audiences. Advanced expertise in understanding key scientific questions and developing innovative analytical solutions to comprehensively address them. Experience driving the development and implementation of new methodologies to integrate genetics and genomics for translational questions. Experience setting up and overseeing external collaborations and ensuring delivery of impact. Skilled at dynamic prioritisation of resources and working flexibly to align with organisational priorities. Successfully leading and managing a high performance team. Strong proficiency in at least one of R and Python, with a track record of writing reproducible and scalable code that abides by FAIR principles. Demonstrable understanding of the stages of drug discovery and development. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
GSK is seeking a Senior Director, Translational Genetics to lead a team of translational genetics scientists. You will provide strategic leadership, build scientific strategy, and work in a highly collaborative environment to address translational questions across therapeutic areas. The role requires expertise in association genetics, integration with genomics and clinical data, and experience supervising external collaborations.
10/07/2026
Full time
GSK is seeking a Senior Director, Translational Genetics to lead a team of translational genetics scientists. You will provide strategic leadership, build scientific strategy, and work in a highly collaborative environment to address translational questions across therapeutic areas. The role requires expertise in association genetics, integration with genomics and clinical data, and experience supervising external collaborations.
Senior Data Scientist IIApplylocations: UK - London (London Wall): Oxfordposted on: Posted Todayjob requisition id: R114632 Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Together, we create possibilities. Join us. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
06/07/2026
Full time
Senior Data Scientist IIApplylocations: UK - London (London Wall): Oxfordposted on: Posted Todayjob requisition id: R114632 Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Together, we create possibilities. Join us. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Our Future Health Limited is seeking a Senior Data Scientist to enhance clinical recruitment processes through data product design. You'll engage closely with engineering and scientific teams to ensure effective data solutions, focusing on the healthcare sector. The ideal candidate has substantial experience in data science and a robust understanding of clinical workflows. This position is hybrid, requiring in-office presence once a month in Holborn, London. A competitive salary starting from £75,000 is offered along with generous benefits.
03/07/2026
Full time
Our Future Health Limited is seeking a Senior Data Scientist to enhance clinical recruitment processes through data product design. You'll engage closely with engineering and scientific teams to ensure effective data solutions, focusing on the healthcare sector. The ideal candidate has substantial experience in data science and a robust understanding of clinical workflows. This position is hybrid, requiring in-office presence once a month in Holborn, London. A competitive salary starting from £75,000 is offered along with generous benefits.
Bristol-Myers Squibb is searching for an Associate Director, Data Science to join its team in Uxbridge, UK. The role focuses on harnessing advanced analytics and machine learning techniques to inform drug development strategies across clinical trials. Ideal candidates hold a relevant PhD with 6+ years of industry experience, demonstrating a strong proficiency in data science methodologies and statistical analysis. They will engage in aspects of data quality frameworks and lead a team of data scientists in a hybrid work setting.
03/07/2026
Full time
Bristol-Myers Squibb is searching for an Associate Director, Data Science to join its team in Uxbridge, UK. The role focuses on harnessing advanced analytics and machine learning techniques to inform drug development strategies across clinical trials. Ideal candidates hold a relevant PhD with 6+ years of industry experience, demonstrating a strong proficiency in data science methodologies and statistical analysis. They will engage in aspects of data quality frameworks and lead a team of data scientists in a hybrid work setting.
Principal Scientist / Associate Scientific Director - Computational Chemistry Job Role: Principal Scientist / Associate Scientific Director - Computational Chemistry Location: Hybrid - home based with regular on site presence in Chapel-en-le Frith Salary: Competitive (depending on experience and scope of leadership) Job type: Permanent, full time (37.5 hrs per week) In this pivotal role, you will apply your computational chemistry expertise to solve complex drug discovery challenges and guide medicinal chemistry programmes for our clients. Working as part of a Private Equity backed, fast growing CRO, you will be central to advancing client projects while helping shape and grow our computational chemistry capability. This role is available at Principal Scientist or Associate Scientific Director level, depending on experience and scope of leadership. What you will be doing Deliver high quality computational chemistry support across drug discovery programmes, from target identification through to clinical candidate nomination Apply structure based and ligand based small molecule drug design methods including docking, QSAR, pharmacophore modelling, virtual screening, MD and QM calculations, to guide medicinal chemistry and solve complex design challenges Provide expert guidance to medicinal chemists and multidisciplinary project teams, integrating computational insight with experimental data Deliver and interpret high quality computational outputs, providing clear, pragmatic recommendations to project teams and clients Work seamlessly with medicinal chemistry, biology, DMPK and safety colleagues as a senior scientific partner Mentor and develop computational chemists, setting high standards for scientific thinking, quality and integrity Contribute to proposals, reports and client interactions, articulating the value of computational chemistry clearly and credibly Maintain the highest standards of scientific integrity and continuously develop your technical knowledge At Associate Scientific Director level, you will also: Shape the strategic direction and growth of the computational chemistry service offering Act as a recognised subject matter expert across the organisation and externally Influence capability development, methodology adoption, and long term service evolution Play a key role in client engagement, proposal strategy, and scientific positioning About you You will hold a PhD in computational chemistry or a closely related discipline You will have significant industrial drug discovery experience within pharma, biotech, or CRO settings You will bring strong expertise in structure based and ligand based small molecule drug design and the practical application of computational tools You will be comfortable working in multidisciplinary project teams and communicating complex science clearly You will be organised, adaptable, and able to deliver across multiple projects in a fast paced environment At Associate Scientific Director level, you will also demonstrate clear scientific leadership, strategic thinking, and service level influence Knowledge of peptide and/or contemporary modality structure based drug design would be an advantage What you will get In addition to a competitive salary, we provide generous holiday entitlement, a pension scheme with enhanced employer contributions, a health cash plan covering a range of therapy treatments, a cycle to work scheme, a retail discount scheme, death in service benefit, a discretionary bonus scheme, and free on site parking. You'll also have access to our BHN Extras platform, offering cashback, discounts, and tech/home purchases via salary sacrifice. Colleague wellbeing is important to us, we offer 24/7 virtual GP access, emotional support services, and a comprehensive wellbeing hub. We're proud of our inclusive, supportive culture and provide a range of learning and development opportunities to help you grow both personally and professionally.
02/07/2026
Full time
Principal Scientist / Associate Scientific Director - Computational Chemistry Job Role: Principal Scientist / Associate Scientific Director - Computational Chemistry Location: Hybrid - home based with regular on site presence in Chapel-en-le Frith Salary: Competitive (depending on experience and scope of leadership) Job type: Permanent, full time (37.5 hrs per week) In this pivotal role, you will apply your computational chemistry expertise to solve complex drug discovery challenges and guide medicinal chemistry programmes for our clients. Working as part of a Private Equity backed, fast growing CRO, you will be central to advancing client projects while helping shape and grow our computational chemistry capability. This role is available at Principal Scientist or Associate Scientific Director level, depending on experience and scope of leadership. What you will be doing Deliver high quality computational chemistry support across drug discovery programmes, from target identification through to clinical candidate nomination Apply structure based and ligand based small molecule drug design methods including docking, QSAR, pharmacophore modelling, virtual screening, MD and QM calculations, to guide medicinal chemistry and solve complex design challenges Provide expert guidance to medicinal chemists and multidisciplinary project teams, integrating computational insight with experimental data Deliver and interpret high quality computational outputs, providing clear, pragmatic recommendations to project teams and clients Work seamlessly with medicinal chemistry, biology, DMPK and safety colleagues as a senior scientific partner Mentor and develop computational chemists, setting high standards for scientific thinking, quality and integrity Contribute to proposals, reports and client interactions, articulating the value of computational chemistry clearly and credibly Maintain the highest standards of scientific integrity and continuously develop your technical knowledge At Associate Scientific Director level, you will also: Shape the strategic direction and growth of the computational chemistry service offering Act as a recognised subject matter expert across the organisation and externally Influence capability development, methodology adoption, and long term service evolution Play a key role in client engagement, proposal strategy, and scientific positioning About you You will hold a PhD in computational chemistry or a closely related discipline You will have significant industrial drug discovery experience within pharma, biotech, or CRO settings You will bring strong expertise in structure based and ligand based small molecule drug design and the practical application of computational tools You will be comfortable working in multidisciplinary project teams and communicating complex science clearly You will be organised, adaptable, and able to deliver across multiple projects in a fast paced environment At Associate Scientific Director level, you will also demonstrate clear scientific leadership, strategic thinking, and service level influence Knowledge of peptide and/or contemporary modality structure based drug design would be an advantage What you will get In addition to a competitive salary, we provide generous holiday entitlement, a pension scheme with enhanced employer contributions, a health cash plan covering a range of therapy treatments, a cycle to work scheme, a retail discount scheme, death in service benefit, a discretionary bonus scheme, and free on site parking. You'll also have access to our BHN Extras platform, offering cashback, discounts, and tech/home purchases via salary sacrifice. Colleague wellbeing is important to us, we offer 24/7 virtual GP access, emotional support services, and a comprehensive wellbeing hub. We're proud of our inclusive, supportive culture and provide a range of learning and development opportunities to help you grow both personally and professionally.
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. As the Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in: Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONSIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Ensure effective due diligence activities. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Competencies: Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus Car Benefit 28 days annual leave, plus bank holidays and volunteering days Private Healthcare Pension scheme Life Insurance Wellness programs and support Employee discount scheme Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period: 5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time Contact Us: 400 South Oak Way, Green Park, Reading, Berkshire RG2 6AD UK Phone: () Email:
02/07/2026
Full time
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. As the Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in: Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONSIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Ensure effective due diligence activities. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Competencies: Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus Car Benefit 28 days annual leave, plus bank holidays and volunteering days Private Healthcare Pension scheme Life Insurance Wellness programs and support Employee discount scheme Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period: 5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time Contact Us: 400 South Oak Way, Green Park, Reading, Berkshire RG2 6AD UK Phone: () Email:
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: The Data Science team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions. As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest-impact problems, and providing expert guidance across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. Responsibilities: Own the technical direction for signal processing and ML model development on CoMind One, defining approaches, architectures, and evaluation frameworks that set the standard for the team Lead the development and validation of the most complex data science components, from novel algorithm design through to evidence generation for regulatory submissions Act as the primary technical reviewer and expert resource across the data science team, setting the bar for methodological rigour, reproducibility, and scientific integrity Drive the design and execution of data collection and labelling strategies with Clinical teams, including ground truth definition, dataset governance, and performance benchmarking Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications, and regulatory documents Represent the data science function in cross-functional technical forums, architecture reviews, and external scientific and clinical engagements Identify and introduce new methods, tools, and approaches that advance CoMind's signal extraction and ML capabilities AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data Demonstrated ability to take algorithmic work from research through to production-quality, validated implementation Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity with algorithm validation and documentation requirements for software as a medical device Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority Nice to Have Background in neuroscience, neuromonitoring, neurophotonics, and/or cerebrovascular physiology Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies Familiarity with FDA regulatory pathways for AI/ML-based medical devices Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life assurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores Access to Udemy for upskilling and professional development.
02/07/2026
Full time
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: The Data Science team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions. As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest-impact problems, and providing expert guidance across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. Responsibilities: Own the technical direction for signal processing and ML model development on CoMind One, defining approaches, architectures, and evaluation frameworks that set the standard for the team Lead the development and validation of the most complex data science components, from novel algorithm design through to evidence generation for regulatory submissions Act as the primary technical reviewer and expert resource across the data science team, setting the bar for methodological rigour, reproducibility, and scientific integrity Drive the design and execution of data collection and labelling strategies with Clinical teams, including ground truth definition, dataset governance, and performance benchmarking Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications, and regulatory documents Represent the data science function in cross-functional technical forums, architecture reviews, and external scientific and clinical engagements Identify and introduce new methods, tools, and approaches that advance CoMind's signal extraction and ML capabilities AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data Demonstrated ability to take algorithmic work from research through to production-quality, validated implementation Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity with algorithm validation and documentation requirements for software as a medical device Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority Nice to Have Background in neuroscience, neuromonitoring, neurophotonics, and/or cerebrovascular physiology Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies Familiarity with FDA regulatory pathways for AI/ML-based medical devices Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life assurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores Access to Udemy for upskilling and professional development.
