Postdoctoral Research Assistant in Spatial Analysis of Spatial Transcriptomics
| Posting date: | 22 August 2025 |
|---|---|
| Salary: | £38,674 to £43,171 per year |
| Hours: | Full time |
| Closing date: | 11 September 2025 |
| Location: | Headington, Oxford |
| Remote working: | On-site only |
| Company: | University of Oxford |
| Job type: | Contract |
| Job reference: | 178629 |
Summary
We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to describe and quantify the spatial characteristics and cellular interactions associated with colorectal response to neoadjuvant therapy.You will be jointly supervised by Professor Helen Byrne (Mathematical Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM).
You will be responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms. You will develop computational methods for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses.
It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and interpreting multidimensional biomedical datasets, particularly cancer data and/or spatial data. You will have a strong interest in interdisciplinary research in the biological and medical sciences and experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. Experience of close collaboration with researchers in the biological, medical and mathematical sciences would be highly desirable.
Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.
This position is offered full time on a fixed term contract for 30 months and is funded by CRUK.
Only applications received before 12 midday on 11 September 2025 will be considered. Please quote 178629 on all correspondence.
You will be responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms. You will develop computational methods for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses.
It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and interpreting multidimensional biomedical datasets, particularly cancer data and/or spatial data. You will have a strong interest in interdisciplinary research in the biological and medical sciences and experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. Experience of close collaboration with researchers in the biological, medical and mathematical sciences would be highly desirable.
Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.
This position is offered full time on a fixed term contract for 30 months and is funded by CRUK.
Only applications received before 12 midday on 11 September 2025 will be considered. Please quote 178629 on all correspondence.