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;
https://www.bdi.ox.ac.uk/research/oxford-gsk-collaboration-in-biostatistics-
and-artificial-intelligence-in-medicine





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 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 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 19 May 2025 will be considered.
Please quote **177230** on all correspondence.