Researcher in Computational and Systems Biology Full-time NEW

Researcher in Computational and Systems Biology

Oxford Population Health (Nuffield Department Of Population Health, University Of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF

Oxford Population Health (the Nuffield Department Of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease.

We are seeking a researcher in computational and systems biology to lead innovative research at the intersection of artificial intelligence, multi-omics integration, and cellular systems modelling. Based at the Big Data Institute (BDI) at the University Of Oxford, the successful candidate will join the Ideker Lab within the Nuffield Department Of Population Health.

Reporting to the BDI Director, the post holder will work within a highly collaborative and interdisciplinary research environment, leveraging large-scale proteomic, transcriptomic, and perturbational datasets to build predictive and interpretable models of biological systems. The role will focus on developing computational frameworks that integrate multi-omics data to uncover mechanisms of disease, cellular resilience, and therapeutic response.

The post holder will lead research applying large-scale machine learning and foundation models to understand gene regulation, protein function, and cellular responses across diverse biological contexts. Working closely with collaborators across computational biology, genomics, and systems biology, the role will contribute to major consortium projects, high-impact publications, and grant development. The successful candidate will also provide guidance and mentorship to junior members of the research group.

Applicants should hold a PhD in computational biology, bioinformatics, systems biology, computer science, or a related quantitative discipline, with relevant postdoctoral research experience. Demonstrated expertise in deep learning and representation learning applied to biological data, experience with large-scale multi-omics datasets (such as single-cell and proteomics), and strong programming skills in Python and/or R are essential. Excellent communication skills and the ability to collaborate effectively in interdisciplinary research environments are also required.

This is a full time, fixed term post (part time considered) for 3 years.

The closing date for applications is noon on 27 March 2026.

You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.