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. 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.