SINGAPORE MANAGEMENT UNIVERSITY

Research Associate, Centre for Research on Successful Ageing

Location
Singapore
Posted
Jun 01, 2021
End of advertisement period
Jun 30, 2021
Contract Type
Fixed Term
Hours
Full Time
  • Contract
  • Manager
  • Masters
  • Singapore | Closing On 30 Jun 2021

contract ending 30 June 2025

About Us

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.

Job Description

  • This position is for Centre for Research on Successful Ageing (ROSA).
  • Data cleaning, processing and publication of updated Singapore Life Panel (SLP) dataset conducted in STATA.
  • Update of SLP data documentation (e.g. data dictionaries, briefings for derived variables).
  • Assist with literature reviews, and staying up-to-date with academic literature on the treatment of longitudinal data.
  • Improve quality of SLP dataset by way of construction of attrition weights and constructing new derived variables.
  • Publication of academic papers (either individually on statistics / data science or co-authoring as the data scientist alongside researchers in economics / sociology / psychology).
  • Contribution to research collaborations with government ministries and agencies.
  • Providing advice to researchers on the data that is available in the SLP and its proper treatment.
  • Quarterly preparation of descriptive summary statistics for sharing at research team meetings, distribution in newsletters, or for sharing with the media.

Qualifications

  • A Master’s degree is preferred in Statistics / Mathematics / Data Science
  • Strong skills in data processing, analytics and modelling using Stata is essential.
  • Experience with longitudinal datasets is desirable.
  • Detailed knowledge of Excel.
  • Additional proficiency in SPSS or R will be highly valued.
  • Good written and verbal communication skills are required.
  • Familiarity with published research in quantitative methods, particularly longitudinal panel data.
  • Publications based on these methods would be advantageous.

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