Biomedical AI & Multi-Omics Research Fellow

National University of Singapore

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+

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Job summary

The Duke-NUS Centre for Biomedical Data Science (CBDS) in Singapore invites applications for a Research Fellow with expertise in AI, statistics, bioinformatics, or computational biology to develop novel AI and statistical methods for multi-omics data analysis.

You will work in an interdisciplinary team on cancer, cardiometabolic diseases, and neurodegeneration, design advanced models for omics data, collaborate with clinicians and scientists worldwide, and contribute to publications and grant

Qualifications

PhD in AI, biostatistics, bioinformatics, computational biology or related fields.
Strong foundation in AI, statistical modeling, machine learning or high-dimensional data analysis.
Proficiency in programming languages such as R, Python, or Julia.
Excellent communication and collaborative skills.
Strong publication records in peer‑reviewed journals is an advantage.
Experience with biological data (genomics, transcriptomics, single-cell) is an advantage.

Responsibilities

Design and develop AI and statistical methods for complex omics data, including multi-modality data.
Analyze large-scale omics datasets, interpret results, and generate biological insights.
Collaborate with clinicians, biologists, CS, biostatisticians and staff.
Prepare oral presentations, posters, and written reports to evaluate data and methods.
Lead and contribute to high-impact publications in statistical and biomedical journals.
Assist in the preparation of grant applications and reports for ongoing funded projects.
Perform other related duties incidental to the work described herein.