Computational Researcher (Bioinformatician) (Fixed Term - Maternity Cover)

open until filled
Medical Sciences, Cancer research, Computer Science, Genetics, Biochemistry
University of Cambridge
Cambridge, United Kingdom
£30,942-£40,322 GBP

The Brenton research group is located at the Cancer Research UK Cambridge Institute University of Cambridge. The Institute is core-funded by Cancer Research UK and has state-of-the-art research facilities for over 20 research groups to undertake world-class research into all aspects of cancer biology.

Ovarian cancer is the 4th commonest cause of female cancer related deaths. The research aims of our laboratory are to identify therapeutically relevant mechanisms of drug resistance in patients with ovarian cancer using genomic and functional approaches. We are using next-generation sequencing methods to identify novel, therapeutically relevant, copy number signatures associated with particular mutational processes in patient samples and developing plasma biomarkers of response based upon circulating tumour DNA.

We are looking for a computational researcher to cover maternity leave to work on analysis of next-generation sequencing data. The lab uses amplicon, shallow whole-genome sequencing to profile samples from high-grade serous ovarian cancer patients. These samples include fixed and fresh primary tumours, fixed tumour biopsies and liquid biopsies. The successful candidate will work closely with other bioinformaticians in the group to analyse the data for ongoing genomics projects, using existing analysis pipelines. The group is a dynamic mix of molecular biologists, bioinformaticians, clinical fellows and pathologists providing a unique environment for development in cancer genomics, with a strong focus on clinical application. The group has a particular interest in developing computational approaches for understanding tumour heterogeneity (PMID: 30104763). This position is suitable for either a junior computational researcher or post-doctoral level computational researcher, with projects and training provided depending on experience. The previous wet-lab experience based around next generation library preparation (whole genome and targeted amplicon deep sequencing) would be desirable but not essential.

The role holder will be primary responsible for supporting translational research projects which will include but will not be limited to;

Data analysis for ongoing genomics project

Working closely with Senior Research Associate on maternity leave

Working alongside existing bioinformatics and computational biologists in the lab

Investigating research questions for ongoing research project(s) under guidance from Group Leader/ Senior Research Associate on maternity leave

Being pro-active in innovation and problem solving, improving established protocols, development of new protocols

Providing specialist advice, guidance and supervision to colleagues

Sharing knowledge and expertise for the benefit of others

Receiving some supervision, but organises and prioritises own work

Optional: Library preparation for next-generation sequencing: shallow whole genome sequencing library preparation, tagged amplicon deep sequencing (depends on the experience)

This post requires a bachelor's degree in a quantitative or biomedical discipline (e.g. bioinformatics, computational biology, computer science, biochemistry, genetics); You will be familiar with working in a Linux operating system and proficient in a least one programming language (e.g. R, Python). Excellent interpersonal and communication skills are essential.

Fixed-term: The funds for this post are available for 12 months in the first instance, or the return of the post holder, whichever is the earlier..

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment and a security check.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date is 3 December 2019, with the interview date estimated to be week commencing 9 December 19.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference SW21574 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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