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Senior Bioinformatician

Department: Barts Cancer Institute
Salary: £50,047 - £55,805 per annum (Grade 6)
Reference: QMUL30673
Location: Charterhouse Square
Date posted: 14 November 2022
Closing date: 30 December 2022

Further details and apply

Overview

About the Role

Applications are sought for an enthusiastic Senior Bioinformatician to join our Translational Cancer Immunotherapy and Genomics Team at Barts Cancer Institute, Queen Mary University. Our ERC funded research implements cutting-edge bioinformatics in the analysis of genomic datasets from clinical trials, to characterize genomic changes influencing therapy resistance and cancer evolution. This project uses ultra-deep whole exome sequencing to track cancer evolution in circulating tumour DNA (ctDNA) during multiple lines of systemic therapy. We have established novel next generation sequencing (NGS) error-correction methods utilizing molecular barcode technology to detect low frequency variants in ctDNA. The successful applicant will be responsible for optimizing the variant and copy number analysis pipeline for deep ctDNA whole exome sequencing analysis, methods for subclonal deconvolution and evolution analysis and assessing mutational signatures in longitudinal samples and have a central role in publishing the results. Applicants will be supported in fellowship applications. You will enjoy working as part of a multi-disciplinary team of clinicians, NGS specialists, experimental biologists and bioinformaticians. The appointee will excel in driving the ERC research progress, making full use of these collaborations. The successful candidate will also be responsible for the management and training of junior bioinformaticians in the group.

About You

Candidates should hold a relevant degree and a post-graduate qualification (PhD) and must have substantial post-doctoral experience in the field of cancer genomics analysis, ideally including whole exome analysis, mutation signature analysis, subclonal composition deconvolution and phylogenetic analysis. The candidate must be familiar with a High Performance Computing Environment and have experience in the design and optimization of NGS bioinformatic pipelines. A proven track record of publications in peer reviewed journals that demonstrate this experience is essential.

About the Institute

The Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. BCI is internationally renowned in many areas of cancer research and it combines ground-breaking basic research with the expertise of clinicians and clinician scientists.
 

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits

We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

The post is based at the Charterhouse Square Campus. It is a full time (35 hours per week) appointment, fixed term for 16 months in the first instance. The starting salary will be Grade 6, in the range of £50,047 - £55,805 per annum (depending on the skillset of the candidate), inclusive of London Allowance.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Informal enquiries should be addressed to Marco Gerlinger at m.gerlinger@qmul.ac.uk.

To apply for the role, please click the ‘apply’ button below.

The closing date for applications is 30 December 2022.

Interviews are expected to be held shortly thereafter.

 

Further details and apply

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