Assistant Professor / Associate Professor (Tenure Or Research Track) (Cqm / Bc)

OverviewNational University of Singapore – QueenstownThe National University of Singapore is the national research university of Singapore.

Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.Job DescriptionWe seek an outstanding Artificial Intelligence (AI) expert specializing in the medical or biomedical sciences, with demonstrated excellence in both methodological research and clinical application of artificial intelligence and machine learning (ML).

The candidate will contribute to high-impact research addressing complex challenges where AI / ML is applied to key research areas, including population health, healthy longevity and aging, mental health and resilience, immunology, precision medicine, clinical decision-making, drug discovery, climate change, and biomedical discovery.

The successful candidate will be based at the Centre for Biomedical Data Science (CBDS), which will come into effect from January 1, 2026, as a strategic merger of two mature Duke-NUS centres, namely, the Centre for Quantitative Medicine (CQM) and the Centre for Computational Biology (CCB).

The incoming faculty member will also be an important player in the Duke-NUS AI + Medical Sciences Initiative (DAISI).

Key Responsibilities : Lead an innovative research programme in AI / ML, with applications in medicine, clinical research, omics, imaging, or population health.Translate and implement advanced analytic approaches (e.g., multimodal AI) into clinical / biomedical settings with SingHealth / NUS collaboratorsEngage in collaborative research with clinicians, biomedical researchers, and statisticians across SingHealth, NUS and Duke University.Mentor and supervise PhD students, promoting local capacity and excellence in methodology and translational AI.Actively contribute to grant acquisition, research leadership, and dissemination of results through high-impact publications.Support teaching in Biostatistics, Health Data Science, and related programsQualificationsPhD in Statistics, Biostatistics, Computer Science, or a related quantitative discipline, with strong evidence of applying AI in biomedical / clinical contexts.Proven publication record in reputable journals and recognition for methodological and / or applied contributions in healthcare AI.Solid record of research grant activity, both as principal investigator and co-investigator.Excellent problem-solving skills and ability to communicate effectively across disciplines.Demonstrated experience with multidisciplinary projects, particularly at the intersection of method development and clinical / population health application.Prior teaching and supervision experience at the graduate level is preferred.What we offerStart-up funding, commensurate with rank and the proposed research programmeAccess to secure clinical and multi-omics data environmentsModern GPU, and high-performance computing resources, plus dedicated research-engineering supportClose integration with clinicians and clinical trial / implementation unitsSupport for commercialization, intellectual property and industry partnershipsCompetitive salary and benefits, with relocation support where applicable.How to applySubmit your CV, a brief 2-page research statement, and up to 3 key publications.

Application review continues until

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