Biomedical AI & Multi-Omics Research Fellow

Duke-NUS Medical School; Singapore; On-site; SGD 65,000 - 110,000; Full time

Job summary

The Duke-NUS Centre for Biomedical Data Science (CBDS) seeks a Research Fellow to advance AI and statistical methods for multi-omics data analysis. You will work in a diverse team addressing cancer, cardiometabolic diseases, and neurodegeneration, contributing to high-impact publications and grants.

You should hold a PhD in a relevant field and have strong programming skills (R/Python/Julia), excellent communication, and a track record in biomedical data analysis or related areas.

Qualifications

• PhD in Computer Science, Biostatistics, Statistics, Bioinformatics, Computational Biology, or AI-related disciplines.
• 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.
• Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.
• Strong publication records in peer-reviewed journals is an advantage.

Responsibilities

• Design and develop AI and statistical methods for complex omics data at multiple resolutions.
• Analyse large-scale omics datasets, interpret results, and generate biological insights.
• Collaborate with national and international researchers including clinicians and scientists.
• Prepare oral presentations, posters, and written reports to communicate analyses.
• Contribute to high-impact publications in statistical and biomedical journals.
• Assist in grant applications and develop mentored and independent grant-writing skills.
• Perform related duties incidental to the work described herein.

Skills

AI & ML foundations

High-dimensional data

R/Python/Julia

Effective communication

Education

PhD in Computer Science or related

Tools

R

Python

Julia

Job description

The Duke-NUS Centre for Biomedical Data Science (CBDS) seeks a Research Fellow to advance AI and statistical methods for multi-omics data analysis. You will work in a diverse team addressing cancer, cardiometabolic diseases, and neurodegeneration, contributing to high-impact publications and grants.

You should hold a PhD in a relevant field and have strong programming skills (R/Python/Julia), excellent communication, and a track record in biomedical data analysis or related areas.