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University of Oxford

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Postdoctoral Position in Computational Spatial Biology and Colorectal Cancer at the University of Oxford University of Oxford in United Kingdom

Degree Level

Postdoc

Field of study

Oncology

Funding

Postdoctoral research position funded by CRUK through the CRC-STARS programme. The post is a paid research associate role; no stipend, tuition, or fee waiver details are provided in the post.

Deadline

Sep 30, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Oncology
Computer Science
Biology
Mathematics
Computational Biology
Cancer Research
Spatial Analysis
Medical Science
Spatial Biology
Colorectal Cancer
Statistics
Bioinformatic
Spatial Transcriptomic

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About this position

We’re sharing a postdoctoral research associate opportunity in computational spatial biology at the University of Oxford, within the CRUK-funded CRC-STARS programme.

The project focuses on understanding therapeutic response and resistance in colorectal cancer using quantitative spatial biology, integrating spatial transcriptomics and imaging data with computational methods for spatial analysis.

The successful candidate will join the multidisciplinary Applied Spatial Biology Oxford team and work across mathematics, computational biology, cancer biology, and clinical research. The role includes developing new methods and reproducible pipelines for analysing complex spatial datasets.

Applicants with backgrounds in computational biology, bioinformatics, mathematics, statistics, oncology, or related quantitative fields are encouraged to apply. Prior spatial biology experience is welcome but not essential.

Deadline: 30 September 2026.

Apply: follow the job details link and submit via the linked CoreHR recruitment page.

Funding details

Postdoctoral research position funded by CRUK through the CRC-STARS programme. The post is a paid research associate role; no stipend, tuition, or fee waiver details are provided in the post.

What's required

Background in computational biology, bioinformatics, mathematics, statistics, oncology, or a related quantitative field. Prior spatial biology experience is welcome but not essential. The role is aimed at a computational/dry-lab researcher able to work with spatial transcriptomics and imaging data.

How to apply

Open the job details link and apply through the CoreHR recruitment page. Review the full advert for role specifics and submit the application before the deadline.

More information can be found here

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