Summary
The University of Oxford invites applications for a Postdoctoral Researcher – AI Scientist & Computational Cancer Biology to join the Nuffield Department of Medicine. Hosted at the Oxford Centre for Immuno-Oncology, this position is part of the UK Cancer Vaccine AI Scientist & Supercomputing Project funded by the Advanced Research & Innovation Agency (ARIA). The researcher will contribute to developing cutting-edge AI models and autonomous agentic systems to accelerate personalized cancer vaccine discovery.
Overview Table
| Detail | Information |
|---|---|
| Position Designation | Postdoctoral Researcher (AI Scientist & Computational Cancer Biology) |
| Host Institution | University of Oxford (Nuffield Department of Medicine) |
| Research Centre | Oxford Centre for Immuno-Oncology |
| Funding Agency | Advanced Research & Innovation Agency (ARIA) |
| Salary / Pay Scale | Research Grade 7: £39,424 – £47,779 p.a. (Discretionary range to £53,483 p.a.) |
| Contract Type | Full-time, Fixed-term until 30 September 2030 |
| Vacancy ID | 189248 |
| Location | Headington, Oxford, United Kingdom |
| Application Deadline | 05 November 2026, 12:00 Midday UK Time |
Designation
Postdoctoral Researcher – AI Scientist & Computational Cancer Biology (Grade 7)
Research Area
Artificial Intelligence, Computational Biology, Cancer Genomics, Tumour Immunology, Bioinformatics, and Autonomous Laboratory Systems.
Location
Oxford Centre for Immuno-Oncology, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ, United Kingdom.
Eligibility & Qualification
- Hold a relevant PhD/DPhil (or be close to completion) in Artificial Intelligence, Computational Biology, Bioinformatics, Cancer Biology, Genomics, or a closely related discipline.
- Demonstrated strong computational research skills and proven experience analyzing large-scale biological, genomic, or biomedical datasets.
- Practical experience working with frontier AI models, AI coding, or agentic frameworks (e.g., Codex or comparable tools).
- Specialist knowledge of cancer biology, cancer genomics, or tumour immunology.
- Understanding of cancer vaccines, neoantigen identification, tumour antigens, and their clinical applications in personalised medicine.
- Proven ability to manage independent academic research and deliver discrete scientific objectives within a multidisciplinary team.
Scholarship & Project Description
The UK Cancer Vaccine AI Scientist & Supercomputing Project is a national flagship research initiative hosted by the University of Oxford and funded by ARIA alongside support from the Medical Research Council, UKRI, CRUK, and DSIT. The initiative aims to harness sovereign AI supercomputing, automated robotic laboratories, and cancer immunology to build an AI scientist capable of formulating scientific hypotheses, designing experiments, controlling wet-lab automation, and interpreting data.
As a Postdoctoral Researcher, you will lead a computational research stream by designing and implementing frontier AI models and agentic scientific workflows. Working across a consortium of over 2,500 scientists, engineers, and clinicians, you will integrate multi-omic, immunological, and experimental datasets to discover and validate high-confidence targets for personalized cancer vaccines.
How to Apply
- Visit the official University of Oxford recruitment portal using the link provided below.
- Prepare a comprehensive Curriculum Vitae (CV).
- Draft a supporting statement clearly demonstrating how your experience and technical skills meet each selection criterion listed in the job specification.
- Upload both documents through the online recruitment system before the deadline. Do not upload additional documents at this stage.
Please quote vacancy reference 189248 in all correspondence. For queries regarding the role, contact recruitment at recruitment@ndm.ox.ac.uk.
Last Date for Apply
05 November 2026 at 12:00 Midday (UK Time)
Apply Link
Apply Online for Postdoctoral Researcher – Oxford Centre for Immuno-Oncology
