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Location of position

This position is based at the Francis Crick Institute in London.

Funding for this position is available until February 2023.

Grades

8-9

Hours

Full Time

Salary

(inclusive of London allowance)

Grade 8 £43,023 – £50,753 per annum, Grade 9 £55,163 – £59,981 per annum

Duties and Responsibilities

We are seeking a collaborative
and self-motivated bioinformatician post-doc to spearhead cancer evolutionary genomics analysis and the design and operation of the bioinformatics next generation sequence pipeline for the TRACERx longitudinal lung cancer program at the Francis Crick Institute.

The successful applicant for the bioinformatics position in the TRACERx initiative will be based within the Translational Cancer Therapeutics laboratory, led by Professor Charles Swanton, at the new Francis Crick Institute. The successful candidate will join a successful multi-disciplinary team of cancer evolutionary biologists 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.

Key Requirements

The role is ideally suited for a creative individual with a strong interest in cancer evolution, software development and testing, database analysis, and automation within a high throughput academic setting interested in working at the Francis Crick Institute. We seek a candidate with strong software engineering and programming skills who is keen to apply these skills to the field of cancer evolurionary biology. The successful applicant will 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.

The candidate will be expected to work within the TRACERx informatics team 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 and lead a research program in preparation for future independence.

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