Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantAssociate-%28Data-Analyst%29/29096-en_GB/
We regret that only shortlisted candidates will be notified.
Job Description
The Saw Swee Hock School of Public Health, National University of Singapore (NUS), invites applications for a full-time Research Assistant/Associate (Data Analyst) position to support data processing and statistical analysis for a large-scale, recurring population health survey.
This survey monitors the health status and lifestyle patterns of local populations and provides timely, evidence-based insights to inform public health planning. The role focuses on rigorous data processing, statistical analysis, and production of policy-oriented reports, rather than academic research or journal publications.
Candidates will work with large, complex datasets apply quantitative methods to generate actionable insights and collaborate with lead investigators and policy stakeholders.
Key Responsibilities
Research & Analysis
- Conduct data quality checks and apply sampling frames and weighting procedures to survey data.
- Perform statistical analyses to assess population health trends and evaluate public health policies.
- Work with Principal Investigators (PIs) and stakeholders to refine survey methodology, support ethics applications, and track project deliverables.
Project Management & Stakeholder Engagement
- Coordinate with data collection and processing teams to ensure data accuracy and adherence to quality standards.
- Engage with policymakers and national agencies to ensure survey relevance and alignment with policy needs.
- Translate analytical findings into practical insights and policy-relevant recommendations.
Knowledge Management & Dissemination
- Synthesise findings into policy reports and briefs
- Support knowledge-sharing activities, including public briefings of survey results.
Requirements
- Degree or Master's in Statistics, Biostatistics, or a related quantitative field.
- Proficiency in R experience with SAS is advantageous as role involves working with SAS-based data pipelines.
- Strong grounding in quantitative research methods, especially survey design and analysis.
- Good analytical and writing skills, with the ability to translate statistical findings into policy-relevant insights.
- Ability to work collaboratively and engage effectively with diverse stakeholders.
- Prior experience in survey operations or quantitative research is an advantage.
Additional Information
- This is a full-time, office-based position at NUS. The role requires on-site collaboration with investigators, data teams and policy stakeholders.
- Recruitment is open immediately, and applications will be reviewed on a rolling basis until the position is filled.
- For further inquiries, please contact Ms Jacinta Chen ([Confidential Information]) or Dr Rick Ong ([HIDDEN TEXT]).
Note: Only shortlisted candidates will be contacted.
