About the Role
We are a science-led, global pharmaceutical company committed to closing the gap between biological discovery and clinical impact. Our translational mission is to decode the molecular and cellular architecture of human disease, using multi-omics data as the connective tissue between causal mechanistic insight and patient outcome. We are building the analytical infrastructure that turns complex biological signals into actionable clinical hypotheses.

We believe that the next generation of translational leadership will be defined by the ability to move fluidly between deep genomic profiling, including at single-cell and spatial resolution, and AI-driven data integration to derive and apply insights to identify and develop transformative medicines for patients. This role has been created for a scientist who can operate at that interface with rigour, creativity, and strategic clarity.

Position Overview
We are seeking an exceptional and ambitious scientific leader to serve as Senior Director of Translational Data Sciences. This individual will define and drive our translational data strategy across the continuum from disease biology to clinical readout, integrating multi-omics platforms with AI-driven analytics to bridge the gap between mechanistic discovery and therapeutic decision-making.

The successful candidate will combine deep expertise in spatial, single-cell and/or other multi-omics with a demonstrated record of delivering insights from agentic AI systems. Critically, we are looking for someone who can move between scientific rigour and strategic execution: a leader who communicates directly with R&D and clinical development executives, structures external alliances, and holds themselves and their team accountable to the clinical relevance of every analytical platform they deploy.

Key Responsibilities

• Scientific Strategy: Develop and execute the Translational Data Sciences strategy, with accountability for portfolio-level outcomes across multiple therapeutic areas including respiratory, renal, hepatology, and immune-mediated disease.
• Data Sciences and AI: Leverage the potential of data sciences for pipeline progress through team leadership, collaboration across Translational & Developmental Sciences and application across therapy areas and the broader organisations across GSK including R&D Technologies and AIML.
• Partnership & Alliance Leadership: Establish and maintain high-value partnerships with leading academic laboratories, companies, and international consortia; represent the organisation at international scientific forums and translate external innovation into internal competitive advantage.
• Translational Integration: Work directly with R&D leadership to align computational strategy with clinical development priorities, ensuring that AI-derived insights are translatable into actionable hypotheses spanning target identification and validation, biomarker discovery, and patient stratification.
• Team Leadership: Build and mentor an interdisciplinary team of computational biologists, AI/ML engineers, and clinician-scientists and wet-lab scientists; foster a culture of scientific excellence, methodological rigour, and collaborative ambition.
• Scientific Visibility: Contribute to the organisation's external positioning through publications, conference presentations, and academic collaborations.

Qualifications
Basic qualifications:

• Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree.
• PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.
• Extensive experience spanning academic and industrial drug discovery environments, with a demonstrable record of leading high-impact computational biology programmes.
• Prior line management experience and experience building and leading interdisciplinary teams across computational, experimental, and translational disciplines.
• Demonstrated experience structuring and managing strategic partnerships with academic institutions and companies.
• Familiarity with the translational interface between target biology and clinical development; experience with adaptive clinical trial design and biomarker-driven patient stratification.

Preferred qualifications:

• Expert command of spatial transcriptomics platforms and single-cell multi-omics analysis, with fluency in applying established analytical frameworks and developing novel methods.
• Deep expertise across the full spectrum of modern ML for biology: graph neural networks, Bayesian causal inference, topological data analysis, deep generative models (VAEs, diffusion models, GANs), and reinforcement learning.
• Proven ability to design and deliver agentic AI systems integrating large language model APIs and generative AI frameworks.

What We Offer
A leadership mandate at the frontier of genomic- and AI-enabled drug discovery, embedded within an organisation that is investing decisively in computational biology and translational data platforms. You will have direct influence on R&D Translational strategy and leadership, operational autonomy to build and execute your vision, and the institutional resources to deliver at scale. We offer a competitive senior compensation package, flexible hybrid working, and a genuine commitment to scientific impact.

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, parental status, national origin, age, disability, genetic information, military service or any basis prohibited under law.