ICGC-MED Senior Research Associate in Bioinformatics

University College London - UCL Cancer Institute

The appointment will be on UCL Grade 8. The salary range will be £43,023 - £ 50,753  per annum , inclusive of London Allowance.

The 2007 opening of the Cancer Institute in the Paul O'Gorman Building heralded a new era in cancer research and medicine at UCL. The Institute is consolidating cancer research across the campus. In particular, it fosters links between basic cancer researchers across Biomedicine, and with the clinical activities of our partner Hospitals (University College London Hospitals including Queen Square, Great Ormond Street Hospital for Children and the Royal Free Hospital). We are seeking an interactive and self-motivated bioinformatician or statistician to work on cancer genome evolution, focussing on lung, pancreas and breast cancer to work within the ICGC-med consortium in collaboration with Andrew Biankin and Carlos Caldas. The candidate will be expected to utilise evolutionary, mathematical and statistical methods to dissect cancer evolution based in particular upon next generation sequencing data in lung, pancreas and breast cancer. In addition, the candidate will be expected to be able to independently lead projects from start to finish, taking a supervisory role when needed. Duties and responsibilities of the post holder include but are not limited to: work within the Swanton and McGranahan labs’ informatics team and coordinate analyses between Glasgow (Biankin/Pancreas Cancer) and Cambridge (Caldas/Breast cancer), to employ novel informatics techniques based on evolutionary principles to the analysis of tumour subclonal evolution, to record all experiments in an accurate, timely and clearly presented manner, and use this to prepare data summaries and reports as and when required.

The position is funded for 12 months initially.

The successful candidate will be part of a broader successful multi-disciplinary team of cancer evolutionary biologists within ICGC-MED and lung cancer translational research clinicians where all stages of novel cancer treatment, from design of therapeutics, through pre-clinical imaging, to application in the clinic are achievable within the UCL Cancer Institute and the Francis Crick Institute. The successful applicant will have Postdoctoral qualification (PhD and MRes), a proven track record of publications in high impact journals, be fluent in at least one of the following programming languages: C++, Python or R, and is expected to have strong skills in the field of one or more of the following: cancer genomics, evolutionary biology, statistics, mathematics and machine learning. Knowledge of and experience with Bayesian statistics is particularly desired.

UCL vacancy reference: 1694142

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

For enquiries regarding the application process please contact Laime Matkeviciute (HR Assistant), l.matkeviciute@ucl.ac.uk.

Interview Date: TBC

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