COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
- This position is for Centre for Research on Successful Ageing (ROSA).
- Analyze large datasets from the Singapore Life Panel surveys and other sources
- Utilise data mining and statistical analysis techniques to uncover insights related to the physical, social, economics, and mental well-being of Singapore's ageing population.
- Collaborate with interdisciplinary teams to interpret findings and provide actionable insights.
- Assist with data cleaning, processing and publication of updated Singapore Life Panel (SLP) dataset conducted in STATA.
- Assist with literature reviews, and staying up-to-date with academic literature on the treatment of longitudinal data.
- Research, Publications and Reports
- Assist with data analysis, survey design and research support for academic studies and translational research (including co-authoring journal articles alongside researchers in economics/ psychology/sociology; quarterly research briefs and newsletters).
- Contribute to research collaborations with ROSA's partners.
- Prepare reports, visualisation, and presentations to communicate findings for funders and relevant stakeholders.
- Centre's Outreach
- Assist with workshops, seminars, roundtables and ROSA annual symposium.
- Prepare research presentation materials for conferences, seminars, events or media releases.
- Bachelor's degree in Data Science, Analytics, Statistics or a related field. Advanced degrees are a plus.
- Strong analytical skills and proficiency in statistical software (e.g., R, Python, SPSS, SAS).
- Experience with data mining techniques and tools.
- Ability to manage and analyze large datasets.
- Excellent communication skills, both written and verbal.
- Ability to work collaboratively in an interdisciplinary team environment.
- Recent graduates are welcome to apply.
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Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
