Job: Single Cell Cancer Genomics
gravatar for crispin.miller
4.9 years ago by
United Kingdom
crispin.miller0 wrote:

Computational Biologist – MRC Single Cell Research Centre, CRUK Manchester Institute with Dr Crispin Miller & Prof Caroline Dive
    • 5 years duration 

    • Post available from: April 2015

Following the award of £4.9M by the MRC to establish a Single Cell Research Centre (SCRC) at the University of Manchester, the CRUK Manchester Institute and Faculty of Life Sciences are together seeking a computational biologist to join the SCRC. Based within the CRUK Manchester Institute, the postholder will focus on the analysis of genomics data derived from individual cancer cells, including Circulating Tumour Cells (CTCs) – see for example, Hodgkinson et al. (2014) Nature Medicine. They will join a highly collaborative team comprising the CRUK Clinical and Experimental Pharmacology (CEP) Group (led by Caroline Dive and Ged Brady), the CRUK RNA Biology Group (led by Crispin Miller) and the University of Manchester Computational and Evolutionary Biology Group (led by Magnus Rattray). 

The successful applicant will focus on establishing approaches for the integration and analysis of multiple genome-wide single-cell ‘-omics datasets including DNA and RNA sequencing, and on turning these into robust analytical pipelines that will be used to explore the clinical consequences of inter-cell heterogeneity. Longer-term ambitions include the analysis of single cell methylomics and ChIP sequencing data. They will have access to a dedicated HPC genomics facility based at the CRUK MI, and will write computationally intensive code to analyse high volumes of cancer genomics data. They will have a PhD in computational biology, statistics, or a related discipline, strong communication skills, and a desire to apply their talents collaboratively with scientists from other disciplines.

They will have significant relevant experience developing R/Bioconductor, be conversant with software engineering techniques and have an excellent grasp of the statistical approaches used to analyse genome-wide datasets.  The post will suit a highly enthusiastic scientist with a desire to see single cell genomics help unravel tumour heterogeneity and evolution to optimise precision medicine for cancer patients. 

For more details see:

This is one of two Computational Biology Posts associated with the SCRC - the other based in the University of Manchester Faculty of Life Sciences. 

cancer job genomics single cell • 1.0k views
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