Research Assistant/Associate Policy Analyst - Economic Evaluation
Company description:
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
Job description:
Job Description
Research Assistant/Associate Policy Analyst - Economic Evaluation
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 underscores the need for effective interventions to support healthy and active ageing.This project aims to evaluate the impact of interventions (e.g. Age Well SG and related community-based programmes) on health outcomes, functional status, healthcare utilisation, and wellbeing among older adults. The study will draw on longitudinal and administrative datasets and will involve quantitative analysis and policy-relevant modelling to inform ageing and healthcare 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 and administrative data; (3) managing large and complex datasets; (4) evaluating programme impacts on health, frailty, and healthcare utilisation; (5) supporting cost and 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 programme evaluation, 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 ethic, 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 the candidate's academic qualifications and years of relevant experience.
Applicants should send the following by email to Dr. Cynthia Chen ([email protected]):- Cover note introducing themselves (no more than 500 words);
- A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
- 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.