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University of Oxford; Ovingdean; On-site; GBP 32,000 - 44,000; Full time

Job summary

University of Oxford is seeking a Postdoctoral Research Assistant to join the CRC-STARS Spatial Biology team. You will develop and apply advanced bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging data, contributing to understanding therapeutic response in colorectal cancer.

You will build robust computational pipelines, collaborate with a multidisciplinary consortium, and contribute to publications, grants and conference presentations.

Qualifications

• Experience in bioinformatics analysis of spatial transcriptomics data.
• Strong computation and data interpretation skills in cancer biology.
• Ability to develop robust computational pipelines and reproducible workflows.

Responsibilities

• Develop and apply advanced bioinformatics and spatial analysis to large-scale spatial transcriptomics datasets.
• Build robust and reproducible computational pipelines.
• Collaborate with clinicians, mathematicians and computational biologists; contribute to publications and grant applications.

Skills

Bioinformatics

Spatial analysis

Computational pipelines

Tools

MuSpAn

Job description

Postdoctoral Research Assistant in Spatial Analysis of Spatial Transcriptomics

We are looking for a Postdoctoral Research Assistant to join the multidisciplinary CRC-STARS Spatial Biology team at the University of Oxford. This role offers the chance to contribute to a major Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working across the Centre for Human Genetics and the Mathematical Institute, you will collaborate with leading mathematicians, computational biologists, experimental scientists and clinicians to develop innovative approaches that will improve our understanding of therapeutic response and resistance in colorectal cancer.

Colorectal Cancer- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal cancer scientists, clinicians and mathematicians will explore the mechanisms of evolved adaptive response to therapeutic selective pressures in colorectal cancer.

You will develop and apply advanced bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving treatment response. The role involves building robust and reproducible computational pipelines, interpreting complex biological data, collaborating across the CRC-STARS consortium, and contributing to scientific publications, grant applications and conference presentations. This is an excellent opportunity to work at the interface of quantitative science and cancer biology within a highly collaborative and internationally recognised research environment.

This position is offered full time on a fixed term contract until 28 February 2028 and is funded by Cancer Research UK.

Only applications received before 12 midday on Wednesday, 30 September 2026 will be considered. Please quote 188032 on all correspondence.