Job Title: Research Associate/Assistant (Community Health, Cities and Spatial Analysis)
Posting Start Date: 10/02/2026
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
- 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. prepost, comparative analyses)
- 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
- 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
- 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 [Confidential Information] and
[HIDDEN TEXT] 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
