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. Our operating principles include end‑to‑end translation, strong integration between translational leads and core functional teams, and excellence in foundational capabilities while increasing earlier translational impact.
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.
A key objective is to evolve translational biomarker datasets from one‑off outputs into reusable, accessible data assets that are available, interpretable and usable across multiple translational use cases.
The role operates across a spectrum of technology and system maturity, providing hands‑on leadership where processes are new or fragmented, and building repeatable, scalable ways of working as systems mature, transitioning into business‑as‑usual with matrix partners.
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, a pension plan membership, and shares and savings programme.
We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in‑office work.
Responsibilities
- Lead the end‑to‑end enablement of biomarker dataset reuse (clinical & non‑clinical) by ensuring data is findable, accessible, interpretable and aligned to translational decision‑making timelines. Identify and drive resolution of systemic barriers (e.g. unclear ownership, access constraints, metadata gaps and platform fragmentation), and establish repeatable, scalable E2E 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 working with Data Automation and Predictive Sciences, Platform Sciences Data Operations and the Development Data Value Office, reducing reliance on senior intervention to align teams.
- Maintain visibility of active Translational Sciences data assets, pathways and reuse opportunities to proactively identify risks, opportunities and priorities.
- Monitor data‑related performance and drive continuous improvement to increase reliability, accelerate progress and reduce manual intervention.
Basic Qualifications & Skills
- 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.
Preferred Qualifications & Skills
- 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 (e.g. navigating privacy, consent and global legislation impacting data use and reuse).
- 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).
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, colour, 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.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore the opportunities with our hiring team.
