"Research Associate/Assistant (Community Health, Cities and Spatial Analysis)"

Job Description

About the Role
We are seeking a Research Associate / Research Assistant with quantitative skillsets to support research at the intersection of community health, cities, and population wellbeing. The role is suited for a quantitative social scientist, statistician, human geographer, or urban planner, and involves spatial, statistical, and/or economic analyses of place-based community initiatives to inform practice, planning, and policy.

What You’ll Do

1. Quantitative & Spatial Analysis
   • Analyse community health and urban interventions using quantitative and statistical methods such as hierarchical level modelling, structural equation modelling, and latent class analysis.
   • Conduct spatial and geospatial analyses linking health, social, and built environment data
   • Develop maps, dashboards, and visualisations to examine neighbourhood-level patterns and inequities
   • Apply quasi-experimental or longitudinal approaches where appropriate (e.g. pre–post, comparative analyses)
2. Urban, Community & Health Systems Research
   • Examine place-based initiatives such as community gardens, neighbourhood health projects, and urban design interventions
   • Conduct scoping and/or systematic reviews and meta-analyses of related initiatives
   • Link community-level data with healthcare, demographic, and administrative datasets where relevant
   • Collaborate with researchers, community organisations, and government agencies to frame policy-relevant questions
3. Health Economics & Policy Analysis
   • Support economic or cost-related analyses of community and urban health interventions
   • Contribute to analyses of resource allocation, efficiency, and value of preventive or community-based programmes
   • Assist in translating quantitative findings into policy-relevant insights
4. Knowledge Translation & Research Outputs
   • Contribute to academic manuscripts, technical reports, and policy briefs
   • Support dissemination of findings to planning, health, and community stakeholders

Background and Experience
-At least 2 years of experience in quantitative, spatial, or computational methods, preferably in applied research settings working on projects related to healthy cities

Skills and Competencies

• Skills in quantitative analysis using R, Python, Stata, or equivalent statistical software
• Prior experience working with large datasets, administrative data, or spatial data is an advantage
• Interest in community health, urban environments, and place-based interventions
• Strong analytical writing skills and ability to communicate findings clearly
• Track record of quantitative publications, reports, or data-driven outputs is ideal
• Experience with healthcare economics, cost-effectiveness, or economic evaluation is ideal

Application
Please submit your CV and a short cover letter to awsu@nus.edu.sg and geckhong.yeo@nus.edu.sg in addition to application on the job portal

Qualifications

• Bachelor’s or master’s degree in Statistics, Economics, Geography, Urban Planning, Public Health, Sociology, Data Science, or a related field

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: 31740

Apply now