Postdoctoral Research Associate in Spatial Biology and Cancer Immunology
Analyse spatial tumour immune microenvironments using advanced mathematical and computational methods in Oxford’s interdisciplinary cancer research programme.
Best for:Best for postdoctoral researchers with a PhD in mathematics, statistics, computational biology, or related quantitative disciplines, skilled in Python and spatial data analysis, interested in cancer immunology and computational biology.
Overview
This postdoctoral position at the University of Oxford focuses on applying quantitative spatial analysis methods to multiplex imaging and spatial transcriptomics datasets in cancer immunology. The successful candidate will collaborate across the Mathematical Institute, Oxford Centre for Immuno-Oncology, and The Francis Crick Institute to investigate how tumour immune microenvironments regulate anti-tumour responses. The project leverages the MuSpAn framework and Python-based workflows to analyse existing datasets from oesophageal and colorectal cancer cohorts, with a specific emphasis on T cell organisation and therapeutic outcomes. The role is ideal for researchers with a strong background in computational biology, mathematical modelling, and cancer immunology, seeking to contribute to translational cancer research.
What you'll do
- Develop and apply advanced mathematical and computational methods to analyse multiplex imaging and spatial transcriptomics datasets.
- Investigate the spatial organisation of precursor-exhausted T cells and regulatory T cells within tumour immune microenvironments.
- Extend analyses to additional patient cohorts and prepare findings for publication and presentation.
- Collaborate closely with researchers from the Mathematical Institute, Oxford Centre for Immuno-Oncology, and The Francis Crick Institute.
- Apply and further develop quantitative spatial analysis methods using the MuSpAn framework and Python-based workflows.
- Contribute to understanding how spatially structured immune microenvironments respond to therapy.
Requirements
Degree required: PhD/DPhil in mathematics, statistics, data science, computational biology, or a related quantitative discipline (or close to completion)
Language: English (proficiency assumed, no explicit test mentioned)
Instruction: English
- Experience analysing and interpreting complex biological or multidimensional datasets
- Strong programming skills in Python
- Ability to rapidly acquire expertise in new computational tools
- Background in spatially resolved biological data, cancer biology, or cancer immunology
- Open to international applicants
- No explicit residency or nationality restrictions mentioned
Funding & terms
How to apply
Deadline: 2026-10-16 (Europe/London)
Applications must be submitted online via the University of Oxford’s recruitment portal. Applicants are responsible for arranging two reference letters to be sent directly to references@maths.ox.ac.uk by the closing date. Full details are available in the job description.
- CV
- Cover letter
- Two reference letters (to be sent separately by referees)
Contact
HR Administrator· Recruitment Contact
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