Oxford Population Health at the University of Oxford is seeking a Researcher to join Trey Ideker’s multidisciplinary team at the Big Data Institute. You will develop agentic AI for mechanistic cancer discovery and genotype-to-phenotype modelling, formulating hypotheses and analysing genomic and multi-omics data.
Applicants should hold or be near completing a PhD/DPhil in bioinformatics or related discipline, with experience in hypothesis-driven biology and computational methods for discovery.
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Agentic AI Scientist for Mechanistic Cancer Discovery in Oxford employer: University of Oxford
The Department of Politics and International Relations at the University of Oxford is an exceptional employer, offering a collaborative and intellectually stimulating environment where finance professionals can thrive. With a commitment to equality, diversity, and inclusion, along with generous benefits such as 38 days of annual leave and a robust family leave scheme, employees are supported in both their professional and personal lives. This role not only provides the opportunity to influence strategic financial decisions within a world-renowned department but also fosters continuous growth and development in a vibrant academic community.