Cambridge, UK: Research Associate in Computational Biology and Cancer (data mining), Department of Oncology, University of Cambridge

Research Associate in Computational Biology and Cancer
Department of Oncology
£25,134-£32,796

Limit of tenure applies*

We seek a post-doctoral Research Associate to join an interdisciplinary CRUK funded project to develop data mining methods for cancer research. Among the aims is the development of novel statistical methods for integration and interpretation of diverse high throughput genomic datasets, including expression, arrayCGH, microRNA and SNP data. The post will be based in the Cancer Research UK Cambridge Research Institute (CRI), home to 16 research groups and associated core facilities that embrace a multidisciplinary approach to cancer research (see www.cambridgecancer.org.uk/).

The successful applicant will have a PhD or equivalent in biological sciences, with a strong quantitative focus. Experience in computational statistics and strong programming skills in languages such as R, Matlab or C++ is required. Familiarity with statistical analysis of microarray data, database management and cluster computing are strongly desirable.

For further information about the project please contact Professor Simon Tavaré on st321@cam.ac.uk.

Completed applications consisting of a PD18 form (available from www.admin.cam.ac.uk/offices/personnel/forms/pd18/. Please complete parts I, IIa, III of the form), CV and the names and addresses of three referees should be sent to Catharine Adams via email (preferably in pdf format): catharine.adams@cancer.org.uk.

* Limit of tenure: up to three years.

Closing date: 21 March 2008.