Research Assistant (CBDS/FQ)
Research Assistant (CBDS/FQ)
University-Level Unit: Duke-NUS Medical School
Faculty/Department-Level Unit: Office of Research
Employee Category: Research Staff
Location: Outram Campus
Posting Start Date: 17/04/2026
Job Description
The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.
The successful candidate will perform a variety of research activities under the supervision of the Principal Investigator.
- Implement analysis pipelines and machine learning algorithms to analyse high-throughput genomic data, biobank data, and clinical data.
- Write high-quality technical and methodological reports or research papers.
- Attend project meetings and present research outcomes.
- Collaborate on multiple projects within the lab.
- Perform other related duties incidental to the work described therein.
Job Requirements
- Bachelor's or Master’s Degree in Statistics, Biostatistics, Bioinformatics, Computational Biology, Data Science, Computing, or related areas with strong mathematical knowledge.
- Possess strong computational skills in high-performance computing (HPC) environments and proficiency in a Linux environment and programming languages such as R, Perl, Python etc.
- Prior experience in high-throughput genomics and sequencing data analysis, and/or machine learning.
- Have strong teamwork skills and the ability to work harmoniously with a diverse workforce.
- An interest in applying statistics to solve real-world medical problems.
We regret that only shortlisted candidates will be notified.
More Information
Location: Outram Campus
Organization: Duke-NUS Medical School
Department: Office of Research
Employee Referral Eligible: No
Job requisition ID: 32465
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