Research Assistant in Germline mutation and Meiotic recombination Part-time

Research Assistant in Germline Mutation and Meiotic Recombination

We are seeking to appoint a talented and ambitious Research Assistant to join the Hinch Group at the Sir William Dunn School of Pathology, University of Oxford. The successful candidate will develop machine learning approaches to investigate the mechanisms underlying GC-biased gene conversion and understand how meiotic recombination shapes human genetic variation and genome evolution. Working closely with members of the research group, you will analyze large-scale genomic datasets and develop computational methods to address fundamental questions in human genetics and molecular evolution.

You should have completed the requirements for a first degree in computer science, artificial intelligence, bioinformatics, computational biology or a related quantitative discipline before taking up the appointment. You should have experience applying machine learning methods to biological or genomic data, strong programming skills (preferably in Python and/or R), and an understanding of population genetics and GC-biased gene conversion. You will be able to manage your own research activities while working effectively within a collaborative research environment.

This is a fixed-term appointment available for 1 year. If you are interested in this role, and have the skills and experience we are looking for, please apply online. You will be required to upload a CV and supporting statement as part of your online application. Informal inquiries can be sent to Dr Anjali Hinch via email anjali.hinch@path.ox.ac.uk. The closing date for applications is 12:00 on Friday 14 August 2026. Interviews will be held as soon as possible thereafter.