Postdoctoral Researcher in Bioinformatics/Statistics, University of Oxford

An exciting opportunity has arisen for a Postdoctoral Researcher — Bioinformatics/Statistics to work on the data-mining and knowledge discovery components of the FP7 project “Enabling information re-Use by
linking clinical REsearch and Care”, EURECA (http://eurecaproject.eu/partners). By generating a bench-to-bedside
strategy, the EURECA project will aim to define and solve the necessary steps to achieve maximal health outputs for users, including patients, families, researchers, pharmaceutical industry and healthcare providers.

The post holder will be a key member of the Oxford component of the EURECA project. This post will be located at the Weatherall Institute of Molecular Medicineand the work will be carried out in close collaboration with the Department of Statistics.

The successful candidate will hold a PhD or equivalent in Bioinformatics, Statistics or a related subject. A track record in development of data-mining solutions in a clinical research/pharmaceutical project or equivalent transferable experience is essential as is the ability to generate and critically review data-mining methodologies including reports and/or professional publications. Advanced presentation and publication skills as shown by
international meetings and/or publication record and experience with statistics, data-mining and/or artificial intelligence methods applied to the analysis of high-dimensionality datasets is desirable.

This is a full-time post and is available until 31 July 2015 in the first instance.

All applicants must complete a short online application form; upload a CV and supporting statement. To apply for this role, please click on the ‘Apply Now’ button in the link below.

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=104310*

Please cite the reference ID: 104310.

The closing date for applications is 12.00 noon on Wednesday 26
September 2012.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.