Salary: Grade 8: £40,792 - £48,677 p.a.
We are seeking to appoint a 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 Universitys 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 Oxfords 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 support the bioinformatic analysis of high-throughput sequencing datasets, working alongside our senior computational biologist and leading molecular and cellular biologists to address challenging biological questions. Specifically you will be working extensively with high-throughput (next-generation) sequencing data sets and will be responsible for developing de novo pipelines for the analysis of new types of experiments and for integrating different types of data in novel ways. As such, you will be an integral member of the team and will be expected to liaise with other members, both in developing these pipelines and by providing bioinformatic input into the design of these experiments.
You will have a PhD in a relevant subject (or MSc plus extensive practical experience) or be close to completed. Will show 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 2 years potentially renewable.
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 17 May 2019. Interviews will be held as soon as possible thereafter.