Postdoctoral Research Associate in Computational Biology


University of Oxford, Oxford, UK


  • Posted on: 15th Nov 2021
  • Salary: Grade 7: £33,309 - £37,467 p.a.
  • REF: 154152
  • Closes: 06th December 2021
  • Contract Type: Fixed-Term/Contract
  • Hours: Full Time

Job Details

Postdoctoral Research Associate in Computational Biology

NDORMS, The Kennedy Institute of Rheumatology, Roosevelt Drive, Headington, Oxford OX3 7FY

Grade 7: £33,309 – £37,467 p.a.

We have an exciting opportunity for a Postdoctoral Research Associate in Computational Biology to join the Stromal Cell Biology Group at the Kennedy Institute of Rheumatology, University of Oxford. Working closely with the KTRR Senior Research Fellow in Data Science, you will lead the computational data analysis and interpretation of single cell datasets with the goal of discovering the cell populations, their intra- and inter-population metabolic circuits, and the metabolic-signalling networks that become dysregulated in disease, as well as metabolic targets for therapeutic intervention.

As a Postdoctoral Research Associate, you will take responsibility for the planning and execution of high-quality research, analysing and interpreting data and preparing and publishing your findings in peer-reviewed journals. You will also contribute to the wider research team, working closely with clinical and experimental colleagues to share data and help design experiments, and act as a source of information and advice to other members of the group, training and supervising graduate and undergraduate students as appropriate.

You will hold a PhD (or near completion) in a discipline of direct relevance to computational single cell genomics research, with degree-level training in cellular and molecular biology/ immunology or equivalent experience. A successful track record with the statistical analysis and interpretation of complex genomic data sets, and proficiency in relevant programming languages (python, R), statistical machine learning libraries (e.g., scikit-learn, PyTorch), and development of reproducible scientific flows (e.g., git, docker), are also essential. This post is part of a collaboration with Sitryx:

You will be required to upload a supporting statement and CV as part of your online application. Due to funding constraints, the successful applicant must be available to start in post by 18 April 2022 at the latest.

The closing date for applications is12.00 noon on Monday 6 December 2021.

Please direct your informal enquiries to Profs Mark Coles and Chris Buckley: and

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Closing Date & Time :

06-Dec-2021 12:00

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