Question 1

What qualifications are required for this Research Fellow position at Duke-NUS?

Accepted Answer

Candidates must hold a PhD in Biostatistics, Bioinformatics, Computational Biology, Statistics, Data Science , or a related quantitative field. A strong background in statistical modelling, machine learning , and high-dimensional data analysis is essential, along with proficiency in R and/or Python . Experience with metabolomics, spatial omics , or biomedical datasets is preferred. Excellent communication and collaborative skills are required. Learn more about thriving in research roles via our guide on postdoctoral success . Explore research jobs.

Question 2

What are the key responsibilities of the Research Fellow?

Accepted Answer

Responsibilities include designing and applying statistical, computational, AI-based methods for metabolomics and multi-omics data analysis ; analyzing large-scale datasets (genomics, transcriptomics, proteomics, clinical); contributing to biomarker discovery for cardiovascular and metabolic diseases ; collaborating with interdisciplinary teams; preparing presentations, manuscripts, and grant applications. See related opportunities in research assistant jobs .

Question 3

What is the research focus of this Duke-NUS Research Fellow role?

Accepted Answer

The role focuses on integrative analysis of metabolomics and omics data for cardiovascular and metabolic diseases , developing AI methods for spatial multi-omics , integrating multi-modal datasets, and identifying molecular mechanisms and biomarkers. Work with Prof. Wang Yibin and Dr. Xiaoyu Song in a collaborative environment at the Centre for Biomedical Data Science (CBDS) . Check clinical research jobs for similar positions.

Question 4

How do I apply for this Research Fellow position?

Accepted Answer

Applications are open until 29 June 2026 . Submit via the Duke-NUS portal linked in the job post. Prepare a CV highlighting omics analysis experience and publications. Tailor your academic CV using our guide to writing a winning academic CV . Visit postdoc jobs for more listings.

Question 5

What skills and experience are preferred for success in this role?

Accepted Answer

Preferred skills include experience in metabolomics, spatial omics , or biomedical data analysis, interest in cardiovascular biology, metabolic disorders , and biomarker discovery. Strong programming in R/Python and ability to work independently in interdisciplinary teams are key. Build your profile with tips from excelling as a research assistant .

Question 6

Where is the position located and what is the employment type?

Accepted Answer

Located at Outram Campus, Duke-NUS Medical School, Singapore . This is a full-time staff position in Laboratory and Research, classified under Staff/Administration. Ideal for those seeking research fellow jobs in bioinformatics . Browse research jobs in Singapore.

Research Fellow (CBDS/SXY)

National University of Singapore (NUS)

Outram Campus

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