Postdoctoral Fellow in Early-Life Genomics and Statistical Biology
United Kingdom
Apply by 10 Nov 2026
About This Opportunity
Wellcome Sanger Institute offers Postdoctoral Fellow in Early-Life Genomics and Statistical Biology in Hinxton, focused on early-life cohort genomics and molecular determinants of health.
The Wellcome Sanger Institute is recruiting a postdoctoral fellow to work on genomic and molecular evidence from early-life or population cohorts, within a research programme associated with the Martin group. The project aims to understand variation in health-related traits using large, linked biological datasets. The work integrates statistical genomics and computational analysis with cohort-specific measurements, potentially including genetic variation, proteomic signals and cell-free molecular data. The role involves analysis of large datasets, reproducible research workflows and communication of results with collaborators. A relevant PhD in genetics, statistics, computational biology, epidemiology or a related quantitative life science is required, together with solid coding and statistical analysis skills. Compensation or funding: GBP 38,570-49,893 per year. Stated appointment or programme length: Three years. Application timing: 10 November 2026 at 23:59 GMT listed by AcademicPositions. Who This Opportunity Is Best Suited For: Applicants experienced with R or Python, large cohort datasets, statistical inference and biological interpretation of molecular measurements may be especially suitable. Potential Challenges / Who May Find It Less Suitable: The project requires careful handling of potentially complex and restricted human cohort data; it is not an entry-level wet-lab training position. Verify specific conditions for hybrid work directly with the employer. Overall Opportunity Assessment: The research combines population-scale data and early-life molecular biology to address the origins of human traits or disease risk.
Early-life cohort genomics and molecular determinants of health
Level Postdoc
Time Commitment Full-time
Duration Three years
Reference Code JR104058
Field Statistical Genomics
Specialization Biomedical Sciences
Organization Type Research Institute
Funding & Compensation
Amount GBP 38,570-49,893 / Per Year
Funding Type Salary
Funding Status Paid
Period Per Year
Requirements
Education
A relevant PhD in genetics, statistics, computational biology, epidemiology or a related quantitative life science is required, together with solid coding and statistical analysis skills.
Experience
Technical Skills Genomics Proteomics R Python Statistical analysis
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Postdoctoral Fellow employer: Laplace Apply
The University of Edinburgh is an exceptional employer for those passionate about advancing sustainable agriculture through innovative research. With a strong commitment to employee development, collaborative work culture, and access to cutting-edge resources, this role offers a unique opportunity to contribute to impactful projects in regenerative livestock systems. Located in the vibrant city of Edinburgh, employees benefit from a rich academic environment and numerous professional growth opportunities.
