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# Director, Translational Data Sciences

- **Company:** GSK LLP
- **Location:** Upper Providence Township, PA, United States
- **Salary:** $108,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Artificial Neural Networks, Bioinformatics, Computational Biology, Reinforcement Learning, Generative AI, Data Strategy, Information Technology, Variational Autoencoders, Artificial Intelligence Markup Language (AIML)
- **Published:** August 12, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88003914/1

## About the Role

We are seeking an exceptional and ambitious scientific leader to serve as 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.

This is a rare opportunity for a senior data scientist with clinical and/or basic science training to shape how a leading pharmaceutical organisation connects omics data to patient outcomes, at a moment when the tools to do so are more powerful than ever before.

For candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029., * 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/or 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 or matrix management experience and experience leading interdisciplinary teams across computational, experimental, and translational disciplines in both academic and/or industrial settings.
 * Demonstrated experience structuring and managing strategic partnerships with academic institutions and companies, including contribution to alliance governance.
 * Experience presenting to executive leadership, external partners, and international scientific audiences.

Preferred Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:

 * Expert command of spatial transcriptomics platforms and single-cell multi-omics analysis, with fluency in applying established analytical frameworks and the capability to develop novel methods where existing approaches are insufficient. Ideally, also with experience of integration of genomic insights with germline genetic evidence to derive causal mechanistic insight.
 * 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.
 * 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.
 * Demonstrated experience in the processing, curation, and governance of human datasets, with a strong understanding of data quality, integrity, and compliance requirements.

## Description

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 matrix 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 to support pipeline delivery and clinical trial success.

Scientific Visibility.

Contribute to the organisation's external positioning through publications, conference presentations, and academic collaborations., We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.


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