Computational Senior Research Fellow

1000scholars; Greater London; On-site; GBP 55,000 - 61,000; Full time

Benefits offered by this job

Generous pension scheme

30 days annual leave

Season ticket loan

Personal and professional development

Flexible working arrangements

Campus facilities

Job summary

Queen Mary University of London invites applications for a Senior Computational Biologist to join the MUTAHOME project with Barts Cancer Institute. You will develop methods to predict clonal expansion drivers, integrate multimodal omics data, and model tissue responses alongside experimental collaborators.

The role is based in London and offers competitive salaries, generous leave, and development opportunities within a renowned cancer research ecosystem.

Qualifications

• Strong background in human genetics and statistics.
• Experience analysing genomic and transcriptomic datasets.
• Ability to tackle complex biological questions with computational methods.

Responsibilities

• Develop cutting-edge methods to predict which somatic mutations drive clonal expansion.
• Integrate large-scale multimodal omic datasets from healthy and diseased individuals.
• Model how mutant and non-mutant tissues respond to non-pathogenic and pathogenic challenges.
• Collaborate with experimental and clinical teams in an interdisciplinary setting.

Skills

Human genetics

Statistics

Genomics analysis

Transcriptomics analysis

Job description

About the Role

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.

About You

As Senior Computational Biologist, you will:

• Develop cutting-edge methods to predict which somatic mutations drive clonal expansion.
• Integrate large-scale multimodal omic datasets from healthy and diseased individuals.
• Model how mutant and non-mutant tissues respond to non-pathogenic and pathogenic challenges.
• Work closely with experimental and clinical collaborators in a highly interdisciplinary setting.

We’re seeking a senior scientist with:

• 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.

About the Institute

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.

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.

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.

£54,617 to £60,901 per annum.