Job Description

Job Title:  Research Assistant/Associate Policy Analyst - Retirement Adequacy
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:  14/04/2026

Job Description

Research Assistant/Associate Policy Analyst – Retirement Adequacy

 


The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore raises important questions about financial resilience and retirement adequacy. This project aims to examine how life-course transitions in employment, health, caregiving, and housing shape income, expenditure, and financial vulnerability in later life. The study will draw on longitudinal datasets, including the Retirement and Health Study and will involve quantitative analysis and policy-relevant modelling to inform retirement and ageing-related policies in Singapore. This is a full-time position based in Singapore.

 


Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal data; (3) managing large and complex datasets; (4) constructing indicators of retirement adequacy and financial vulnerability; (5) supporting policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

 


The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with longitudinal data analysis or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

 


The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethics, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

 


The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

 


Applicants should send the following by email to Dr. Cynthia Chen (cynchen@nus.edu.sg):
1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

 


Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.