Research Assistant (Community Health, Cities and Spatial Analysis)
NATIONAL UNIVERSITY OF SINGAPORE
Singapore, Singapore
Not specified
Quantitative analysis skills in r, python, or stata
Experience with hierarchical level modelling
Spatial and geospatial data analysis capabilities
The National University of Singapore is seeking a Research Assistant specializing in community health, urban studies, and spatial analysis. The ideal candidate will possess strong quantitative skills and experience in applied research, focusing on the intersection of health, urban planning, and policy
Job Summary
This role supports research at the intersection of community health, cities, and population wellbeing through quantitative and spatial analyses.
The successful candidate will analyze community health and urban interventions using advanced statistical methods such as hierarchical level modelling and structural equation modelling.
Collaboration with researchers, community organizations, and government agencies is essential to frame policy-relevant questions and translate findings into actionable insights.
Matching Summary
Match Score: 85
The National University of Singapore is seeking a Research Assistant specializing in community health, urban studies, and spatial analysis. The ideal candidate will possess strong quantitative skills and experience in applied research, focusing on the intersection of health, urban planning, and policy.
Skills & Requirements
Must-have
Quantitative analysis skills in R, Python, or Stata
Experience with hierarchical level modelling
Spatial and geospatial data analysis capabilities
Knowledge of structural equation modelling
Ability to conduct systematic reviews
Nice-to-have
Experience with healthcare economics
Track record of quantitative publications
Familiarity with latent class analysis
Interest in place-based community initiatives
Strong analytical writing skills
Key Requirements
At least 2 years of experience in quantitative or spatial methods
Bachelor's degree in Statistics, Economics, Geography, Urban Planning, Public Health, Sociology, Data Science, or related field