英国伦敦大学学院2018年博士后职位招聘（生物信息学方向）

Research Fellow/Associate / Senior/Principal Research Fellow/Associate - Bioinformatics (TRACERx study)

University College London - UCL Cancer Institute - Crick Institute

The salary range will be Grade 7 £34,635 - £59,981 per annum, Grade 8 £43,023 - £50,753 per annum or Grade 9 £55,163 - £59,981 per annum, inclusive of London Allowance.

We are seeking collaborative and self-motivated bioinformatician post-docs to work on evolutionary biology in lung cancer based around analysis of next generation sequence data and the tumour microenvironment from the TRACERx longitudinal lung cancer program at the Francis Crick Institute.

Professor Charles Swanton is the lead investigator of the TRACERx initiative, a large scale longitudinal genomics study in lung cancer utilizing deep multi-region tumour sequencing. The focus of the project is the investigation of lung cancer evolution and the development of high throughput bioinformatics techniques to decipher cancer mutational signatures, tumour evolutionary trajectories and interactions with the tumour microenvironment through the disease course. The candidate will be expected to work within the TRACERx informatics team at the Francis Crick Institute and utilise evolutionary, mathematical and statistical methods to deconvolute cancer evolution based in particular but not exclusively upon next generation sequencing data. In addition, the candidate will be expected to have multidisciplinary skills working with clinical and scientific staff and a desire to excel in the field of cancer evolutionary biology.

This post is funded until the end of February 2023 in the first instance.

The successful applicant will have a proven track record of publications, have previous experience with NGS data analysis, 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 genomics and desirably one or more of the following: cancer biology, evolutionary biology, statistics, mathematics or machine learning. Prior experience with data analysis based on integrating large datasets is particularly desired.

UCL vacancy reference: 1736637      

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

For any queries on the application process, please email Louise Rusha, l.rusha@ucl.ac.uk orctc.hr@ucl.ac.uk . For enquiries about the post contact Sharon Vanloo, Operations Manager - Swanton Lab ( sharon.vanloo@crick.ac.uk )

Closing Date: 4 August 2018 

Latest time for the submission of applications: 23.59.

Interview Date: TBC

We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level.

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