The Francis Crick Institute
London, London, United Kingdom
Job Type:
  • Postdoctoral
Degree Level Required:
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We are seeking a talented and motivated postdoc in computational biology to join the Cancer Genomics laboratory of Peter Van Loo. The post holder will perform large-scale genomics analyses of sarcomas in the context of Genomics England’s 100,000 Genomes project, characterizing the landscape of driver mutations and mutational processes across sarcoma entities, and studying the evolutionary history of sarcomas.


This is a highly collaborative project, in which the successful candidate will lead analyses into the drivers, mutational processes and evolution of these sarcomas. The candidate will:  Collaborate closely with a sarcoma GeCIP core bioinformatician to set up and run pipelines for genomics analyses (alignment, SNV calling, indel calling, SV calling and copy number calling).  Perform analyses of recurrent SNV, indel and SV drivers across sarcoma entities.  Perform studies of copy number complexity, chromothripsis, and other mutational processes.  Study intra-tumour heterogeneity using single-sample and multi-sample (approx. ¼ of the cases) analyses, potentially supplemented with single-cell analyses.  Perform timing analysis of mutations, copy number changes and punctuated evolutionary processes, and infer timelines of sarcoma evolution. Page 2 of 2  Work closely with sarcoma GeCIP leadership (steering committee: Adrienne Flanagan (main sarcoma GeCIP lead), Peter Van Loo, Gareth Bond, Stephan Beck) and other GeCIP members to facilitate complementary and downstream analyses.

Postdoctoral Training Fellows are expected to lead their own projects, contribute to other projects on a collaborative basis (both in the lab and with external collaborators) and guide PhD students in their research. The ability to work in a team is essential.


 PhD in genomics, computational biology, computer science or equivalent, or in the final stages of PhD submission  Evidence of independent and original contributions to research  Fluency in at least one programming language  Excellent collaboration, communication, organisation, and time management skills  Commitment to high quality research  A keen interest in cancer genomics