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Description of Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer
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Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer
application opening date: 2025-04-11T09:00:00+01:00
application closing date: 2025-05-12T12:00:00+01:00
spatial: Centre for Human Genetics, Building for Genomic Medicine, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN
contact: Phoebe Astbury
further particulars: 178283 - Postdoctoral Research Assistant - JD
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comment: 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. Applications for this vacancy are t…
comment: 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. Applications for this vacancy are to…
subject: research
salary: Research Grade 7: Research Grade 7: salary in range £38,674 - £46,913 p.a. This is inclusive of a pensionable Oxford University Weighting of £1,500 per year
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178283 - Postdoctoral Research Assistant - JD
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value: Job title Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer Division Medical Sciences Department Nuffield Department of Medicine Location Centre for Human Genetics, Building for Genomic Medicine, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN Grade and salary Research Grade 7: salary in range £38,674 - £46,913 p.a. This is inclusive of a pensionable Oxford University Weighting of £1,500 per year Hours Full time Contract type Fixed-term contract until 31 December 2027 Funding is provided by GSK Reporting to Eoghan Mulholland, Spatial Biology Informatics Team Leader Vacancy reference 178283 Additional information This role meets the eligibility requirements for a Skilled Worker Certificate of Sponsorship under UK Visas and Immigration legislation. About us • • • What we offer https://hr.admin.ox.ac.uk/staff-benefits • An excellent contributory pension scheme • 38 days annual leave • A pensionable Oxford University Weighting allowance of £1,500 per annum (pro rata) • A comprehensive range of childcare services • Family leave schemes • Cycle loan scheme • Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs • A welcoming and diverse community Research topic Spatial Analysis of Spatial Transcriptomics for Colorectal Precancer Principal Investigator / supervisor PIs: Simon Leedham / Helen Byrne Project team GO-PRECISE team University of Oxford - www.ox.ac.uk/about/organisation Nuffield Department of Medicine (NDM) - https://www.ndm.ox.ac.uk Unit - https://www.chg.ox.ac.uk/ Co-Supervisors: Joshua Bull / Eoghan Mulholland Project web site https://www.chg.ox.ac.uk/people/simon-leedham https://www.maths.ox.ac.uk/people/helen.byrne Funding partner The funds supporting this research project are provided by GSK Recent publications EJM Mulholland et al (2024), bioRxiv 2024. 04.28.591245 JA Bull et al (2024), bioRxiv 2024.12.06.627195 JA Bull et al (2024), bioRxiv 2024.…
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