Manager, Translational Biomarker Data Pathways & Re-use in Stevenage

The R&D Translational Sciences (TS) team at GSK is a world‑class centre of excellence in genetics, genomics and translational science focused on generating genetic and genomic insights into Research Unit‑directed disease and product strategies.

Reporting to the Senior Director, Translational Samples & Informatics, this role provides operational leadership to set up, stabilise and scale end‑to‑end (E2E) translational data pathways, including enabling re‑use of clinical datasets at scale to support translational research and decision‑making.

• Lead the end‑to‑end enablement of biomarker dataset re‑use (clinical & non‑clinical) to ensure data is findable, accessible, interpretable and aligned to translational decision‑making timelines.
• Identify and drive resolution of systemic barriers such as unclear ownership, access constraints, metadata gaps and platform fragmentation.
• Establish repeatable, scalable end‑to‑end pathways.
• Lead the set‑up and delivery of complex end‑to‑end biomarker data pathways across multiple functions, defining data flows, roles, responsibilities and dependencies.
• Support the transition of pathways into stable, repeatable models, codifying ways of working into standard processes, templates and reusable patterns.
• Align data delivery or access with analysis readiness and translational decision milestones to maximise impact for GSK’s portfolio.
• Act as an operational focal point for Translational Sciences data flows, ensuring delivery aligns with enterprise governance frameworks and partnering with Data Automation and Predictive Sciences, Platform Sciences Data Operations and the Development Data Value Office, thereby reducing reliance on senior intervention.
• Develop and maintain visibility of active Translational Sciences data assets, pathways and re‑use opportunities to proactively identify risks, opportunities and priorities.
• Monitor data‑related performance and drive improvements to increase reliability, accelerate progress and reduce manual intervention.

• MSc (or equivalent) in a relevant discipline.
• Significant experience working with human biomarker or high‑dimensional data types in Pharma/Biotech, academia, healthcare, or a similar complex R&D environment.
• Ability to solve complex, cross‑functional data and/or technology challenges using a structured and collaborative approach.
• Strong stakeholder management skills in matrix organisations.
• Working knowledge of data governance and operational data flows (e.g., FAIR and data integrity principles).
• Strong organisational and prioritisation skills.
• Ability to lead in areas of ambiguity, bringing clarity and direction while partnering effectively with others.

• Experience working in multi‑cloud and/or multi‑platform environments.
• Experience with high‑dimensional biological data types, their generation and/or analysis (e.g., RNA‑seq, spatial transcriptomics, proteomics, digital imaging, flow cytometry).
• Experience working with human and/or clinical data in a regulated environment, navigating privacy, consent, and global legislation impacting data use and re‑use.
• Evidence of cross‑organisational data leadership contributing to delivery of a high‑impact, cross‑matrix data initiative.
• Understanding of the drug discovery and development lifecycle.
• Experience producing process documentation and/or defining workflows.
• Coding and/or data manipulation skills (Python and/or R).

• Competitive salary.
• Annual bonus based on company performance.
• Healthcare and wellbeing programmes.
• Pension plan membership.
• Shares and savings programme.
• Hybrid working model through the Performance with Choice programme.

Closing Date for Applications – 24th June 2026 (COB).

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 (including family medical history), military service or any basis prohibited under federal, state or local law.