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Senior Director Translational Data Sciences

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GSK

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Location:
United Kingdom; Germany; United States , Stevenage ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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
  • Translational Integration: Work directly with R&D leadership to align computational strategy with clinical development priorities
  • Team Leadership: Build and mentor an interdisciplinary team of computational biologists, AI/ML engineers, and clinician-scientists and wet-lab scientists
  • Scientific Visibility: Contribute to the organisation's external positioning through publications, conference presentations, and academic collaborations

Requirements:

  • 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 from conception through to application to drug discovery or development challenges
  • Prior line management experience and experience building and leading interdisciplinary teams across computational, experimental, and translational disciplines in both academic and industrial settings
  • Demonstrated experience structuring and managing strategic partnerships with academic institutions and companies, including contribution to alliance governance
  • Familiarity with the translational interface between target biology and clinical development
  • experience with adaptive clinical trial design and biomarker-driven patient stratification is highly desirable
  • Experience presenting to executive leadership, external partners, and international scientific audiences

Nice to have:

  • Expert command of spatial transcriptomics platforms and single-cell multi-omics analysis
  • 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, applied to biological discovery problems
  • Proven ability to design and deliver agentic AI systems integrating large language model APIs, generative AI frameworks, and analysis workflows for automated biological insight generation
What we offer:
  • Competitive base salary
  • Annual bonus based on company performance
  • Flexible working options available for most roles
  • Learning and career development
  • Access to healthcare & wellbeing programmes
  • Employee recognition programmes

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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