Senior Postdoctoral Researcher in Application of AI for Medicine (4 posts)

We are seeking four Senior Postdoctoral Researchers to join a new Oxford-GSK partnership focused on biostatistics and artificial intelligence (AI) for application in medicine. Each Senior Postdoctoral Researcher will play a key role in shaping the research within the thematic areas of interest.

With a cross-departmental base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency.

Led by Professor Chris Holmes, and with scientific oversight from Oxford Principal Investigators and GSK scientists, the centre will initially focus on some of the following thematic areas:

• Decision analysis under model misspecification
• Uncertainty quantification around LLMs
• Constrained optimal experimental design (active learning)
• Combining models and combining data / Realistic simulation of clinical trials
• Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis for causality
• Generalisability, transportability and validation of multiomics ML across biobanks

More details on thematic areas can be found here; Oxford-GSK collaboration in Biostatistics and Artificial Intelligence in Medicine — Oxford Big Data

As a Senior Postdoctoral Researcher, you will be responsible for planning and managing your own research programme within the collaboration. You will work closely with Principal Investigators and industry scientists to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually to the development of ‘pathfinder’ projects and help shape the direction of research themes and the wider partnership in the longer term for delivery of new methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as part of the initiative, performing analysis in close contact with the associated clinical researchers and taking responsibility for completion of data analyses. You will communicate on a regular basis with the relevant theme leads (Oxford and GSK) and wider team on all issues relating to the development and application of new methods, ensuring they are kept fully up to date with progress and difficulties in the research projects.

It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification research experience. You will have experience in and an ability to develop research projects, with a strong publication record in peer-reviewed journals and conferences. You will have a proven ability in providing intellectual support and technical advice to projects and in assisting others in tools relating to data processing and analysis. A forward-thinking, collaborative approach to research will be essential to meet the aims of the partnership.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application.

Your supporting statement must specify which thematic areas you are interested in working on, and explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract until 30 September 2028 and is funded by GSK.
Only applications received before 12 midday on 8 May 2025 will be considered. Please quote 177230 on all correspondence.

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