Project Overview
We are looking for a Senior Computational Biologist to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London and the Francis Crick Institute. This initiative brings together world-class experts in evolutionary genomics, stem cell biology, and computational science to unravel one of the most fascinating puzzles in modern biology.
Recent discoveries have revealed that healthy tissues become mosaics of clonally expanded cells carrying somatic mutations, often hitting cancer-related genes. These mutant clones are pervasive and persistent throughout life, yet only rarely progress to disease. MUTAHOME aims to uncover how these mutations impact cell fitness, influence tissue homeostasis, and shape cancer risk.
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. BCI is internationally renowned in many areas of cancer research. It combines ground‑breaking basic research with the expertise of clinicians and clinician scientists from the Centre for Experimental Cancer Medicine and the Barts NHS Trust to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics.
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.
Responsibilities & Qualifications
* Work closely with experimental and clinical collaborators in a highly interdisciplinary setting.
* A strong background in human genetics and statistics.
* Proven expertise in analysing genomic and transcriptomic datasets.
* A drive to tackle complex biological questions through innovative computational approaches.
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro‑rated 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.
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.
Closing Date
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