Applying High Performance Computing to the Cancer Genome

The RNA Biology Group is interested in the processes that regulate gene expression, and how these are altered in cancer. A major focus of the group is on the role of noncoding RNAs in modulating gene expression. We are offering a 4-year PhD studentship to develop new computational approaches to study these systems. Focusing on epigenetics, the project will integrate data generated from a variety of state of the art techniques including DNA and RNA sequencing, ChIP- and ChIRP-seq, and will work with a mixture of in house and public domain datasets.

The successful applicant will join a highly interdisciplinary research group that combines computational biology, bench and clinical science. They will have access to a large High Performance Computing system, with ~2,000 cores and 33TB RAM, and will collaborate closely with bench scientists within the group, to confirm hypotheses generated through in silico analyses.

While a background in biology is useful, the project is computational in nature, and excellent scientists from a computational background who are keen to develop a better understanding of cancer, are also encouraged to apply.