Research Fellow (CBDS/SXY)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore, Singapore
Not specified (assumed to be onsite or hybrid, based on research and academic environment).
Phd in biostatistics or related quantitative field
Proficiency in r and/or python programming
Strong background in statistical modelling and machine learning
The National University of Singapore is seeking a Research Fellow for the Duke-NUS Centre for Biomedical Data Science to engage in interdisciplinary research focused on statistical, computational, and integrative analysis of metabolomics and omics data, specifically in relation to cardiovascular and metabolic diseases. The ideal candidate will hold a PhD in a relevant quantitative field and possess strong skills in statistical modeling and data analysis

Job Summary

  • The role involves designing and applying statistical, computational, or AI-based methods for metabolomics and multi-omics data analysis.
  • Candidates will work closely with biostatisticians, clinicians, and biologists within a collaborative interdisciplinary team at Duke-NUS.
  • The position offers the opportunity to contribute to impactful research in human disease biology and translational medicine.

Matching Summary

Match Score: 85

The National University of Singapore is seeking a Research Fellow for the Duke-NUS Centre for Biomedical Data Science to engage in interdisciplinary research focused on statistical, computational, and integrative analysis of metabolomics and omics data, specifically in relation to cardiovascular and metabolic diseases. The ideal candidate will hold a PhD in a relevant quantitative field and possess strong skills in statistical modeling and data analysis.

Skills & Requirements

Must-have

  • PhD in Biostatistics or related quantitative field
  • Proficiency in R and/or Python programming
  • Strong background in statistical modelling and machine learning

Nice-to-have

  • Experience with metabolomics or spatial omics data analysis
  • Interest in cardiovascular biology and translational medicine
  • Strong publication record in peer-reviewed journals

Key Requirements

  • PhD in Biostatistics, Bioinformatics, Computational Biology, Statistics, Data Science, or Systems Biology
  • Excellent communication and organizational skills
  • Ability to work independently and as part of an interdisciplinary team

Work Rights

Not specified

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