Computational Biologist

Rdm Clinical Laboratory Sciences

University of Oxford, Oxford, UK

Overview

  • Posted on: 13th Jan 2022
  • Salary: Grade 7: £33,309 - £37,467 per annum
  • REF: 155512
  • Closes: 30th January 2022
  • Contract Type: Fixed-Term/Contract
  • Hours: Full Time

Job Details

Computational Biologist

Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, MRC WIMM Centre for Computational Biology, John Radcliffe Hospital, Oxford, OX3 9DS

Grade 7: £33,309 – £37,467 per annum

We are looking for an enthusiastic Computational Biologist to join our team working to build an ancestrally inclusive atlas of healthy musculoskeletal tissues, based at the University of Oxford in partnership with the Human Cell Atlas and Chan Zuckerberg Initiative. The project consortium works across 7 international sites and utilises next generation sequencing to generate a map of healthy muscle, tendon and bone including ancestrally diverse samples from our collaborators in Zimbabwe, The Gambia, India, Turkey, Oman and Argentina. The computational biologist will analyse data generated by the consortium and train others within the consortium in the computational and data science skills and single-cell analysis workflows to enable them to analyse their own data.

At the MRC WIMM Centre for Computational Biology (CCB), we work alongside scientists and clinicians to realise the potential of ‘big data’ in biology by exploiting complex information to make discoveries that benefit human health. The CCB encompasses an international team of over 40 computational biologists, working closely with 500 lab-based scientists and clinicians.

You will hold an MSc or PhD in a quantitative discipline (e.g. bioinformatics, computational biology, computer science, physics, statistics, engineering or mathematics), or a biomedical subject with relevant computational experience. You will be experienced in working in a Linux / Unix command-line environment and be proficient in analysis of biomedical data in Python and/or R. You will have experience and enthusiasm for developing and delivering training in computational biology / data science methods and keeping up with the latest advances in these areas (e.g. machine learning, cloud computing).

The position is available fixed-term for 3 years, funded by the Chan Zuckerberg Initiative.

For informal enquiries please contact david.sims@imm.ox.ac.uk.

Applications for this vacancy are to be made online.

You will be required to upload a CV and supporting statement as part of your online application.

The closing date for this position is noon on 9 February 2022. Interviews will be held in February 2022.

Committed to equality and valuing diversity

Contact Person :

Helen Oldham

Vacancy ID :

155512

Contact Phone :

Closing Date & Time :

Contact Email :

hr@ndcls.ox.ac.uk

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H821057 Job Description – Computational Biologist

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