Postdoctoral Research Assistant

Background selection is one of the most important evolutionary forces, yet we lack efficient simulation and analysis methods. You will work in the Kelleher group, in close collaboration with the Lohse group in Edinburgh to develop new simulation and inference methods, and implement these in the msprime simulator and/or tskit library. You will develop high-quality open-source software as part of the globally-distributed tskit-dev team.

It is essential that you hold a PhD/ DPhil (or close to completion) in a quantitative science subject, together with experience in mathematical population genetics, in particular coalescent processes, and strong Python programming skills. You will have experience of developing population genetic simulation and/or inference methods, and excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Centre for Human Genetics, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN