Senior Computational Biologist: Mutational Genomics

1000scholars; Greater London; In loco; GBP 55.000 - 61.000; Tempo pieno

Vantaggi offerti da questo lavoro

Generous pension scheme

30 days annual leave

Season ticket loan

Personal and professional development

Flexible working arrangements

Campus facilities

Descrizione del lavoro

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.

Competenze

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

Mansioni

• 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.

Conoscenze

Human genetics

Statistics

Genomics analysis

Transcriptomics analysis

Descrizione del lavoro

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.