Job Title: Research Associate (Community Health, Cities and Spatial Analysis)

University-Level Unit: Saw Swee Hock School of Public Health

Faculty/Department-Level Unit: Saw Swee Hock School of Public Health

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 10/02/2026

Job Description

About the Role

We are seeking a Research Associate 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. pre–post, 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 [HIDDEN TEXT] and

[HIDDEN TEXT] in addition to application on the job portal

Qualifications

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