PDF Salary range: £29829 to £37393per annum

Fixed-term for 3 years

Closing date: 7th November 2014

The Trynka lab at the Wellcome Trust Sanger Institute is seeking a highly-motivated researcher with strong skills in computational genomics to fill a postdoctoral fellow position to understand how genetic variants modulate the immune system and predispose to autoimmune diseases. Our research stretches from gene mapping and development of statistical methods through to functional genomics approaches to interpret the function of genetic immune variants. We are looking for an independent thinking person with a strong background in genomics and statistics to join our team and analyse a variety of large scale datasets – from RNA-seq, ChIP-seq, genotyping, and whole genome sequencing – generated from immune cells, both in house and from publically available resources.

We profile specific immune cell subtypes with genomic assays to measure the functional consequences of autoimmune disease variation.  Candidates interested in gene regulation and genetics of complex-traits would be particularly well suited to this position. You must have programming skills sufficient to confidently analyse data from whole genome assays generated across thousands of individuals. The ideal candidate will have past experience working with ChIP-seq and/or RNA-seq data, an interest in immune phenotypes, and at least one first-author publication in a peer-reviewed journal.

This position offers the opportunity to work at one of the world’s leading genomic centres at the forefront of current genomic research. In addition to access to Sanger's computational resources, including a 15000+ core computational cluster  (the largest in life science research in Europe) and multiple petabytes of high-speed cluster filesystems, our group also has a wet lab where we generate our own data. This provides an exciting opportunity for you to not only analyse the data but be actively involved in the planning and execution of large-scale experiments.

We are part of a dynamic and collaborative environment at the Genome Campus and, although we seek someone who can work independently, you will have the opportunity  to interact with researchers across many Programmes at the Institute, and in particular with colleagues from other teams in the Computational Genomics and Human Genetics Programmes.