Postdoctoral Research Assistant in Statistical Machine Learning for Genomics

This is a 36-month, ERC-funded Postdoctoral Research Assistant position in the Department of Statistics at the University of Oxford, working with Professor Pier Palamara to develop statistical and machine-learning methods for large-scale genomic, phenotypic, and health data, including genomic language models and polygenic prediction. Duties include building scalable computational methods and reproducible research software, applying them to biobank-scale datasets, publishing and presenting findings, and mentoring junior researchers. Candidates should hold or be near completion of a PhD/DPhil in machine learning, statistics, computer science, computational biology, or a related quantitative field, with strong statistical/ML foundations, a track record of developing new methods, and solid research-software skills; prior genomics experience is preferred but not required. Salary is £39,424 to £47,779 per annum (with potential extension to £53,483), inclusive of £1,730 Oxford University Weighting. Applications close November 10, 2026.