JOB: Senior Postdoctoral Researcher in AI for Medicine
Robin Evans
Senior Postdoctoral Researcher in application of AI for Medicine
Closing Date: 20-NOV-2025 12:00 | Research Grade 8: Salary in range £49,119 - £51,983 per annum (pro rata).
[Please refer to Robin Evans (ev...@stats.ox.ac.uk) or Kate Prescott (bdin...@nexus.ox.ac.uk) for informal enquiries.]
We have a new and exciting opportunity for a Senior Postdoctoral Researcher to join the new Oxford-GSK partnership focused on biostatistics and artificial intelligence (AI) for application in medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists, forming small teams focused 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, the centre will initially focus on the following thematic areas:
• Decision analysis under model misspecification
• Uncertainty quantification around LLMs
• Constrained experimental design
• Combining models and combining data / Realistic simulation of clinical trials
• Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality
• Generalisability, transportabilty and validation of multiomics ML across biobanks
You will primarily contribute to research on combining models and combining data, and Realistic simulation of clinical trials. This work involves deriving novel identification conditions for heterogeneous designs and working with state-of-the-art techniques for generative modelling. This particular thematic area will be supervised by Professor Robin Evans.
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 projects and help shape the direction of research themes and the wider partnership in the longer term for delivery of new methods relevant for trial design and statistical efficiency. Other responsibilities will include helping with supervision of doctoral 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 discipline (e.g. Statistics, Machine Learning, Biostatistics, AI, Applied Mathematics, Engineering, Operations Research, Management Science) and have previous 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 on 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 should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.
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 20 November 2025 will be considered. Please quote 182811 on all correspondence.
Frank Höppner
The Symposium on Intelligent Data Analysis (IDA) 2026 will take place
April 22-24 2026 in Leiden, the Netherlands. Submit here:
https://cmt3.research.microsoft.com/IDA2026/
Authors are welcome to submit original contributions on the topic of
intelligent data analysis. IDA’s mission is to promote ideas over
performance. Thus, while each contribution should contain some
theoretical or empirical evaluation, exhaustive evaluation is not
required as long as a convincing and solid motivation is given.
Why should you submit to (and participate in) the 24th International
Symposium on Intelligent Data Analysis?
IDA accepts all inspiring papers for both presentation and publication.
IDA promotes ideas over performance, and awards a frontier prize
for the most visionary contribution
IDA symposia are intentionally small-scale and single-track to
create an open atmosphere that encourages discussion
Furthermore, IDA’s programme includes:
Exciting invited talks from research institutes from all over the
world.
A dedicated PhD Poster track, where PhD students can meet and
exchange ideas.
A mentoring program connecting PhD students with senior scientists
who offer their experience to help boost PhD students’ research and
academic careers.
Ideas over performance
IDA accepts all inspiring papers for both presentation and publication.
IDA 2026 uses different acceptance criteria and reviewer guidelines than
most conferences in the field. We solicit full papers, which will be
peer-reviewed, following criteria that emphasize novelty and relevance
over other factors.
Furthermore, IDA stimulates ideas and validation founded in scientific
principles, prioritising gaining new insights through intelligent data
analysis over engineering complex systems.
Finally, we award a frontier prize for the most visionary contribution
embodying IDA’s mission to promote ideas over performance.
IDA’s small-scale, single-track format encourages exchange of ideas
IDA’s meeting format is designed to foster interaction and discussion.
Presentations are scheduled in a single track, gathering scientists from
diverse backgrounds and levels of experience in a single room. IDA
welcomes the participation of students still in their University
education and senior scientists alike, because we believe the
combination of fresh perspective and experience leads to exciting new
insights and research ideas. To further encourage the exchange of
innovative ideas, IDA’s schedule has plenty of time for questions and
in-depth discussions sparked by the innovative ideas presented by
participants.
For more information, see https://ida2026.org/ , or submit your paper
here: https://cmt3.research.microsoft.com/IDA2026/