Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer
GSK, Oxford
Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer
Salary not available. View on company website.
GSK, Oxford
- Full time
- Temporary
- Remote working
Posted 1 week ago, 15 Apr | Get your application in now before you miss out!
Closing date: Closing date not specified
job Ref: 037ce8a93c69400d84279e59d17a9d88
Full Job Description
We have an exciting opportunity for a Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer to join the multidisciplinary GO-PRECISE colorectal precancer team based at the Nuffield Department of Medicine, University of Oxford.
GlaxoSmithKline and Oxford University (GO) launched the PRECISE Alliance (Pre-Cancer Biology and Immunoprevention) in 2024, with the aim of conducting deep exploration of cancer precursors (precancers) to identify their molecular vulnerabilities and developing methods to intercept them. The alliance is directed by Professor Sarah Blagden. This post is within the colorectal precancer theme which is jointly led by Simon Leedham and David Church.
You will be responsible for managing your own academic research and administrative activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing 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, statistics, physics, engineering, data science or a related discipline, and have demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms is essential for this role, along with a strong interest in interdisciplinary research in the biological and medical sciences. Experience of applying software engineering best practices and experience of working with biomedical datasets, particularly cancer data and/or spatial data would be highly desirable for this position.
This position is offered full time on a fixed term contract until 31 December 2027 and is funded by GlaxoSmithKline.
