Research Fellow

4 hours ago


Singapore Duke-NUS Medical School Full time

**Posting Start Date**:08/05/2025

The Centre for Quantitative Medicine(CQM) at Duke-NUS Medical School,a premier academic partnership between Duke University and the National University of Singapore (NUS),is at the forefront of innovative biomedical research, dedicated to advancing cutting-edge research.
Why Join Us?
- 2-year initial appointment with potential for extension based on performance.
- Access to cutting-edge datasets, a collaborative research ecosystem, and high-performance computing.
- Opportunities for career growth, international collaborations, and high-impact publications.
Your Role
- Develop advanced statistical and machine learning modeling to conduct data analyses for large-scale multimodal (genomics, omics etc) studies.
- Conceptualise new ideas, lead data-driven discoveries, ensuring in-depth assessment and interpretation of results.
- Conduct efficient data analyses on large-scale clinical and biobank data, including (but not limited to) whole-exome sequencing and omics data.
- Write high-quality research papers, present research findings, and foster collaboration with local and international researchers.
- Assist in grant writing and reports for ongoing funded projects.
- Mentor graduate students and junior researchers in a dynamic environment.

**Job Requirements**
- PhD in Biostatistics, Computational biology, Bioinformatics, Genetic Epidemiology, or related fields.
- Have strong experience in statistical modelling, machine learning, genomics and multimodal biological and biobank data analysis
- Proficient in R, Python, Perl, and Linux environments.
- A track record of first-author publication in reputable journals.
- Possess strong communications and collaboration skills in a multidisciplinary group.

If you are interested, please submit your CV, Cover Letter, and three referees’ contacts.


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