Researcher in Agentic AI for Mechanistic Cancer Discovery
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 to join Trey Ideker’s multidisciplinary research team at the Big Data Institute (BDI). You will contribute to a strategic research programme aimed at developing agentic artificial intelligence for biomedical discovery and genotype-to-phenotype modelling. You will formulate mechanistic biological hypotheses and analyse data from genetic, genomic, clinical, and functional evidence, design and implement multi-agent systems for scientific reasoning and develop agents capable of interrogating scientific literature, biomedical databases, genomic and multi-omics datasets.
Applicants should hold, or be close to completing, a PhD/DPhil in bioinformatics, computational biology, systems biology, cancer biology, functional genomics, or another relevant discipline. You will have experience conducting hypothesis-driven biological research, a strong understanding of how causal and mechanistic knowledge is established in biology and demonstrated expertise in applying computational methods to biological discovery using genomic, functional-genomic, multi-omics, or other high-dimensional biomedical data.
This post is full time (part time considered) andfixed term post for 3 years.
The closing date for applications is noon on 27 October 2026.
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Researcher in Agentic AI for Mechanistic Cancer Discovery in Oxford employer: Corehr
As a leading research institution, we offer an exceptional environment for postdoctoral researchers to thrive, particularly in the vibrant city of Liverpool. Our commitment to collaboration across prestigious universities fosters a dynamic work culture that prioritises innovation and inclusivity, while our hybrid working model supports a healthy work-life balance. With ample opportunities for professional growth and a focus on diversity, we are dedicated to creating a meaningful and rewarding experience for all employees.
