Genomics England is hiring a Senior Genomic Data Scientist for a 2-year fixed-term contract to join our Adult Population Genomics Programme. In this role, you will lead pharmacogenomics-focused analytical work, shaping the programme's strategy and generating insights from large-scale genomic and health data to advance population-level precision medicine.

What You'll Do

Contribute to study design and planning from a statistics and evaluation perspective, including power calculations, sample size calculations, and outcomes modelling.
Assess and benchmark technologies and bioinformatics tools for processing and analyzing whole genome data for pharmacogenomics and adult disease risk prediction.
Collaborate with Bioinformatic Engineers on the development of data processing pipelines, including setting requirements and overseeing validation, testing, and impact assessment.
Conduct custom computational analyses on whole genome sequencing datasets.
Research scientific literature, identify novel approaches to genome analysis, and contribute to publications and dissemination of findings.

What We're Looking For

Demonstrated experience in human germline DNA analysis within a pharmacogenomics context.
Deep understanding and hands-on experience with a broad range of bioinformatic techniques, especially related to whole genome sequencing, complex loci, haplotypes, and pharmacogenomics variant interpretation tools and databases.
Proficiency in programming with a working knowledge of python, statistics, cloud-scale or high-performance computing, and experimental design including sample size and power calculations.
Proven experience contributing to genomic research or analysis projects from planning to delivery, with outputs such as publications or contributions to large-scale initiatives.
A collaborative, curious, and innovative mindset, with the ability to communicate complex concepts clearly, work effectively across teams, and apply automation to enhance analytical workflows.

Nice to Have

Experience leading collaborative projects, chairing meetings, communicating complexity to non-technical stakeholders, and focusing on decisions that unlock value for study participants.
Ability to inspire and motivate team members, deliver to deadlines, and make delivery-oriented, data-driven strategic decisions.
Excellent analytical and reporting skills.
Prior experience working in highly collaborative, cross-disciplinary environments.