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Research Associate/Research Fellow
2 weeks ago
Company description:
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
Job description:
Job Description
Research Associate/Research Fellow (part-time)
Location: Saw Swee Hock School of Public Health, National University of Singapore
Position Type: 1 year contract at the first instance (renewable), 3-4 days a week, based in Singapore only, SGD /month (Salary will be pro-rated).
About the Role
The Saw Swee Hock School of Public Health is seeking a motivated and capable Research Associate or Research Fellow (part-time) to support a multi-country, interdisciplinary research initiative in global health. This implementation science project focuses on designing and evaluating public health interventions that promote behaviour change, strengthen community resilience, and build local capacity around Water and Sanitation in low- and middle-income settings across Southeast Asia.
This position offers a unique opportunity to contribute to field-based public health research and program evaluation, while collaborating with international partners and local institutions. The role also provides valuable exposure to broader global health initiatives within the school, with a focus on capacity-building, participatory approaches, and scalable solutions to improve health in resource-limited contexts.
Key Responsibilities
• Oversee the baseline community assessment and overall evaluation of the intervention, working closely with the PI and local research teams
• Manage field-based data collection, including surveys, interviews, focus groups observational assessments
• Design and validate survey instruments and context-appropriate evaluation indicators
• Conduct quantitative data analysis of the longitudinal survey and monitoring data
• Draft evaluation reports, policy briefs, and technical documentation
• Create data visualizations to communicate results to stakeholders
• Work collaboratively with economic evaluation experts and qualitative researchers to integrate quantitative findings into a broader mixed-methods evaluation framework
• Support capacity-building efforts for local field teams and partners in evaluation design and data collection
Requirements
• Master's degree or PhD in Public health, Epidemiology, Data Science/Analytics, Psychology, or other related disciplines
• Minimum 3 years of research experience, preferably in program evaluation, public health or applied social science
• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python)
• Expertise in quantitative analysis, with preferred skills in
o Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM)
o Social Network Analysis/ Structural Equation Modelling (SEM)/Multilevel Modelling (MLM)
• Willingness to conduct fieldwork in rural or low-resource settings (required travel for up to 1 week 2-3 times a year) - familiarity with Laos or Southeast Asia is a plus
• Strong project management skills and comfortable with engaging multiple-stakeholders and community partners
• Exposure to qualitative or mixed-methods research is an advantage
Why Join Us?
You'll be part of a dynamic, high-trust team at one of Asia's top public health schools. This is a unique opportunity to shape real-world impact through applied research—working closely with frontline communities, public agencies, and international collaborators. We value curiosity, equity, and collaboration, and are committed to building inclusive, evidence-based solutions for healthier, more resilient communities.
Please send your CV and a brief statement of interest. Only shortlisted candidates will be contacted. Applications reviewed on a rolling basis.
More Information
Location: Kent Ridge Campus
Organization: Saw Swee Hock School of Public Health
Department : Saw Swee Hock School of Public Health
Employee Referral Eligible: No
Job requisition ID : 30129
