Postdoctoral Computational Biologist

University of Oxford - NDM Research Building

Old Road Campus, Headington, Oxford

We are seeking to appoint a Postdoctoral Computational Biologist to join the Oxford Hypoxia Biology Laboratory under the supervision of Professor David Mole and Professor Sir Peter Ratcliffe FRS.  Based at the NDM Research Building on Oxford University’s Old Road Campus, the programme benefits from extensive ‘on-site’ collaborative networks with cancer and computational biologists at the Ludwig Institute for Cancer Research and Oxford’s newly commissioned Big Data Institute, as well as collaborative links to the Francis Crick Institute, London and the Wellcome Trust Sanger Institute at Hinxton.

The successful applicant will develop and execute their own independent research working alongside leading molecular cell biologists to address challenging biological questions using computational and statistical means. In particular the team aims to develop new theories of cancer evolution based on the implications of oncogenic ‘switching’ of massively interconnected pathways. Specifically you will play a key role in the analysis, integration, and interpretation of high-throughput sequencing data in relation to the HIF pathway in kidney cancer. You will be expected to contribute not just to data analysis, but as a senior member of the group you will be involved in the design of ongoing experimental work and its computational analysis.

You will have a PhD in a relevant subject or MSc plus extensive practical experience , clear evidence of research productivity e.g. research publications, programmes and analytical pipelines and a passion for science. A strong background in quantitative and computational analysis is essential together with highly developed problem solving and reasoning skills. 

This a full-time position fixed-term for 3 years with the possibility of renewal.

Further particulars, including details on how to apply and links to further information, can be obtained from the document below.

Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.

The closing date for applications is 12.00 midday on Friday 25 August 2017. Interviews will be held as soon as possible thereafter.

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South East England