University of Oxford Recruitment 2026 | Postdoctoral Researcher – AI Scientist and Computational Cancer Biology
Organization
University of Oxford
Fellowship Amount
£39,424 – £47,779 per annum
Overview
About the Organization
The University of Oxford is one of the world's leading universities, recognized globally for excellence in research, innovation, and higher education. Through its departments and research centres, Oxford collaborates with government agencies, healthcare institutions, and international research organizations to address major global challenges. The Nuffield Department of Medicine conducts pioneering research in cancer biology, immunology, genomics, artificial intelligence, and translational medicine.
Recruitment Overview
| Particular | Details |
|---|---|
| Organization | University of Oxford |
| Post Name | Postdoctoral Researcher – AI Scientist & Computational Cancer Biology |
| Department | Nuffield Department of Medicine |
| Location | Oxford Centre for Immuno-Oncology, Oxford, United Kingdom |
| Job Type | Full-Time |
| Contract | Fixed-term until 30 September 2030 |
| Vacancy ID | 189248 |
| Salary | Research Grade 7 (£39,424–£47,779 per annum) |
| Funding Agency | Advanced Research and Invention Agency (ARIA) |
| Application Mode | Online |
| Last Date | 5 November 2026 (12:00 Noon UK Time) |
About the Research Project
The selected researcher will contribute to a flagship UK project focused on developing personalized cancer vaccines using advanced artificial intelligence and computational biology. The project integrates AI, genomic analysis, laboratory automation, robotics, and high-performance computing to accelerate cancer vaccine discovery. The researcher will collaborate with multidisciplinary teams including computational scientists, clinicians, immunologists, software engineers, and laboratory researchers.
Eligibility Criteria
Applicants should possess:
- PhD (or nearing completion) in Artificial Intelligence, Computational Biology, Bioinformatics, Cancer Biology, Genomics, Biomedical Data Science, or related disciplines.
- Strong computational research experience.
- Expertise in machine learning, AI, genomics, bioinformatics, or cancer biology.
- Experience with programming, AI models, computational pipelines, or genomic analysis.
- Ability to conduct independent research within multidisciplinary teams.
- Excellent communication and scientific writing skills.
Key Responsibilities
- Develop AI models for computational cancer research.
- Build machine learning systems for personalized cancer vaccine discovery.
- Analyze genomic, immunological, and experimental datasets.
- Collaborate with laboratory scientists and clinicians.
- Develop computational workflows for AI-driven vaccine prediction.
- Integrate biological datasets for cancer immunology research.
- Publish research findings in leading journals.
- Mentor junior researchers where appropriate.
- Participate in collaborative interdisciplinary research projects.
- Support innovation in computational oncology.
Salary & Benefits
- Research Grade 7 salary.
- Annual salary ranging from £39,424 to £47,779.
- Oxford University Weighting allowance where applicable.
- Opportunity to work on nationally funded AI healthcare research.
- Access to world-class computational and laboratory facilities.
- International collaborative research environment.
Application Process
Applicants must submit their online application through the University of Oxford recruitment portal before the closing date. The application should include:
- Updated CV
- Supporting Statement
- Relevant academic and research documents (if requested)
Only online applications submitted before the deadline will be considered.
Important Dates
| Event | Date |
|---|---|
| Advertisement Released | October 2026 |
| Application Deadline | 5 November 2026 (12:00 Noon UK Time) |
How to Apply
Financial Support
Fellowship Amount: £39,424 – £47,779 per annum
Eligibility Criteria
Strong computational research experience.
Expertise in machine learning, AI, genomics, bioinformatics, or cancer biology.
Experience with programming, AI models, computational pipelines, or genomic analysis.
Ability to conduct independent research within multidisciplinary teams.
Excellent communication and scientific writing skills.
Important Dates
| 0 | Advertisement Released : October 2026 |
| 1 | Application Deadline : 5 November 2026 |
Streams
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