Overview
In this role you will join a multidisciplinary team to develop agentic AI for biomedical discovery and genotype-to-phenotype modelling. You will translate mechanistic biology questions into computational experiments, analyze genetic and multi-omics data, and build multi-agent systems that reason over literature and databases. This fixed-term post supports a strategic program at the Big Data Institute, aiming to advance understanding of disease mechanisms and collective bioscience knowledge. You will collaborate across disciplines to shape impactful, data-driven discoveries.
Responsibilities
- Contribute to a strategic research programme on agentic AI for biomedical discovery
- Formulate mechanistic biological hypotheses based on diverse data sources
- Analyze genetic, genomic, clinical, and functional evidence to test hypotheses
- Design and implement multi-agent systems for scientific reasoning
- Develop agents capable of interrogating scientific literature and biomedical databases
- Work collaboratively with cross-disciplinary teams to advance project goals
Key requirements
- PhD/DPhil in a relevant field
- Experience with hypothesis-driven biological research
- Strong understanding of how causal and mechanistic knowledge is established in biology
- Proven ability to apply computational methods to biological discovery using genomic, functional-genomic, multi-omics, or high-dimensional data
- collaboration across disciplines
- clear scientific communication
- problem solving
- computational biology methods
- genomic and multi-omics data analysis
- biological data interpretation
Researcher in Agentic AI for Mechanistic Cancer Discovery 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.
