What you will be working on
The Retirement and Health Study Office (RHS) is in charge of implementing the Retirement & Health Study, a joint collaboration between the Board and HDB, MOF, MOH and MOM. The objective of the longitudinal study is to gather information on individuals' employment, health and retirement adequacy, to enhance the design of ageing-related policies and services.
The Retirement and Health Study is a longitudinal survey conducted biennially by the Central Provident Fund Board since 2014. It includes over 20,000 Singapore residents and aims to understand how their retirement, health, and financial status evolve with age. The study provides critical insights that inform government policies and programmes for Singapore's ageing population.
This internship offers hands-on experience in survey research methodology, programming, and data quality assurance that directly impacts Singapore's social policies. In this role, you will:
- Develop and maintain programming scripts (e.g. STATA, Python) to support data monitoring activities and enhance system testing efficiency.
- Execute scripts and analyse output data to identify potential system issues or anomalies.
- Prepare detailed reports on system errors and data anomalies for the vendor.
- Assist in the formulation of test plan based on Wave 7 questionnaire design to ensure that the Computer-Assisted Personal Interviewing (CAPI) system functions according to the design, as well as data requirements.
- Assist in conducting rigorous testing of the CAPI system, ensuring it meets data requirements and identifying and documenting errors.
- Assist in other research tasks related to the RHS where required.
What we are looking for
We value the diverse skills and perspectives that each intern brings. While you may not need to meet every requirement fully, having some familiarity or budding expertise in the following areas will help you make the most of this opportunity and succeed with our team.
- Currently pursuing a Degree in Information Systems, Computer Science, Computer Engineering or a related field.
- Has basic programming knowledge or willingness to learn programming concepts.
- Comfortable working in a computer-based environment with analytical software and tools.
- Strong analytical skills and ability to identify patterns or anomalies in data.
- Pays attention to detail and maintains accuracy when working with complex datasets.
- Communicates clearly, both in speaking and writing.
- Works well independently and with others, takes initiative without needing constant supervision.
Position is on a full-time internship basis from January 2026 to June 2026.