Research Assistant Policy Analyst - Retirement Adequacy

About the role

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal. NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-Policy-Analyst-Retirement-Adequacy/32451-en_GB/ We regret that only shortlisted candidates will be notified. Job Description Research Assistant 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 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 the NUS Career Portal: 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.

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