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Job: Research Associate, Cambridge, UK - Oesophageal Cancer ICGC project
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gravatar for Andy Lynch
2.8 years ago by
Andy Lynch80
United Kingdom
Andy Lynch80 wrote:

See http://www.jobs.cam.ac.uk/job/6208/ for full details

 

Applications are invited for a postdoctoral research associate position to work with Professor Simon Tavaré FRS and other members of the Statistics and Computational Biology Laboratory at the Cancer Research UK Cambridge Institute. The position is to support an exciting whole-genome sequencing project funded by the CRUK Oesophageal International Cancer Genome Consortium Study led by Professor Rebecca Fitzgerald from the MRC Cancer Cell Unit, and is available for one year in the first instance.

The aim of the project is to understand the genetic architecture, history and clinical relevance of mutations in Oesophageal adenocarcinoma by exploiting whole genome Illumina sequencing of 500 tumour samples and matched germ line reference as well as other relevant samples. We are also generating genome-wide data on CpG methylation and transcript abundance, using both array and sequencing technologies.

The position will focus on the integration of our genomic, transcriptomic and methylation data with clinical information. There are opportunities to generate further data in support of this Project through the collaboration with the Fitzgerald lab. There are also opportunities for collaboration with other bioinformatics and statistics researchers in the area.

Applicants should have a PhD in statistics, bioinformatics or similar field, have experience of data analysis, and strong programming skills (one or more of R, Perl, C++ and Java being desirable). Experience with next generation sequence analysis and cancer biology would be an advantage. The successful candidate will require excellent communication skills, the ability to work as part of a team of researchers exploiting our in-house quality control and analysis pipelines to understand the genomic structure of oesophageal adenocarcinoma. Evidence of independence and of the ability to develop novel statistical or bioinformatical methods is essential.

 

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