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
#J-18808-Ljbffr
Postdoctoral Fellow employer: Laplace Expert Ltd
The University of Exeter is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of Digital Humanities. With a strong commitment to employee development, you will have access to numerous growth opportunities and resources to enhance your skills while working on impactful projects like the reconstruction of Florence's Palazzo Medici. Located in a beautiful and historic city, the university provides a stimulating environment for research and creativity, making it an ideal place for those seeking meaningful and rewarding employment.
