Research Assistant (CBDS/FQ)

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Duke-NUS Centre for Biomedical Data Science (CBDS) seeks a Research Staff to perform advanced data analysis and contribute to multiple genomics and biomedical projects. You will implement pipelines, apply ML methods, and document outcomes under supervision of the Principal Investigator.

The role emphasizes high-throughput data analysis, collaboration with a diverse team, and dissemination of findings through reports and papers.

Qualifications

• Master's or Bachelor’s degree with strong mathematical knowledge.
• Strong computational skills in HPC environments and Linux.
• Experience in high-throughput genomics and sequencing data analysis, and/or ML.
• Strong teamwork skills in diverse teams.
• Interest in applying statistics to real-world medical problems.

Responsibilities

• Implement analysis pipelines and ML algorithms for genomic, biobank, and clinical data.
• Write high-quality technical 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.

Skills

HPC environments

Linux

R

Python

Perl

Education

Bachelor's or Master’s Degree in Statistics/ Biostatistics/ Bioinformatics/ Computational Biology/ Data Science

Job description

University-Level Unit: Duke-NUS Medical School

Faculty/Department-Level Unit: Office of Research

Employee Category: Research Staff

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.