Postdoctoral Research Assistant in Spatial Analysis of Spatial Transcriptomics for Therapy Resp[...]

University of Oxford; Oxford; On-site; GBP 30,000 - 40,000; Full time

Job summary

A prestigious research institution in the UK is seeking a Postdoctoral Research Assistant to join their spatial biology team. The successful candidate will analyze spatial transcriptomic data, adapting mathematical methods to quantify cellular interactions related to therapy responses in colorectal cancer. Candidates must hold a PhD in a relevant field and have a strong background in computational biology and programming. This role offers an opportunity to contribute significantly to interdisciplinary research.

Qualifications

• Experience in analysing and interpreting cancer and spatial data.
• Strong interest in interdisciplinary research.
• Ability to quickly learn new programming languages and libraries.

Responsibilities

• Adapt existing mathematical and statistical methods for analysis.
• Analyse quantitative imaging data from various platforms.
• Develop computational methods for identifying spatial interactions.

Skills

Programming in Python

Experience with multidimensional biomedical datasets

Analytical skills

Computational biology

Mathematical spatial analysis

Education

PhD/DPhil in bioinformatics or related discipline

Job description

Position Overview

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 and Dr Joshua Moore.

Responsibilities

You will be responsible for adapting existing mathematical and statistical methods for the 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.

Qualifications

It is essential that you hold a PhD/DPhil (or close to completion) in bioinformatics, computational biology, experimental or theoretical biology, 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.