Assistant Professor / Associate Professor (Tenure or Research Track) (CQM / BC)

Overview

National University of Singapore – Queenstown

The 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 Description

We 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 collaborators
• Engage 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 programs

Qualifications

What we offer

How to apply

Submit your CV, a brief 2-page research statement, and up to 3 key publications. Application review continues until filled.

Contact

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