University of Cambridge seeks a postdoctoral biomedical data scientist to lead AI model development in the Cardiovascular Epidemiology Unit and CBSGI. The role focuses on predicting biologically meaningful parameters from genomic and multi-omic data at population scales, with potential for grant-funded expansion.
You will apply deep learning and ML methods, conduct quantitative analyses, and contribute to first-author publications while collaborating across departments in a flexible,
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Biomedical AI Researcher Multi-Omics & Population Genomics in Cambridge employer: University of Cambridge
The University of Cambridge offers a dynamic and collaborative work environment, particularly within the Department of Oncology, where you will play a pivotal role in advancing cancer research. With a strong emphasis on employee growth, you will have access to professional development opportunities and the chance to work alongside leading experts in the field. The university's commitment to innovation and excellence ensures that your contributions will have a meaningful impact on clinical care and research outcomes.
