Research Assistant (CBDS/FQ)
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Job Description
This Research Assistant position at Duke-NUS Medical School's Centre for Biomedical Data Science will implement analysis pipelines and machine learning algorithms for genomic, biobank, and clinical data. Key responsibilities include writing research reports and papers, attending project meetings, and collaborating on multiple projects. Applicants need a Bachelor's or Master's degree in a quantitative field, strong computational skills in Linux and programming (R, Python, etc.), and prior experience with high-throughput genomics and/or machine learning.
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Requirements
- We regret that only shortlisted candidates will be notified.
- 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.
About This Position
Where is this position based?
The position is based at National University of Singapore (NUS), in Singapore, SG. Check the job description above for flexible or hybrid arrangements.
How do I apply for this job?
Click the Apply button on this page — it takes you to National University of Singapore (NUS)'s official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.
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