Research Assistant/Research Associate

1 week ago

Central Region, Singapore Singapore Management University Full time $70,000 - $120,000 per year
  • This position is for Centre for Research on Successful Ageing (ROSA).
  • Research and Publications
  • Assist with data analysis, survey design and research support for research briefs and academic journals.
  • Contribution to research collaborations with government ministries and agencies.
  • Publication of academic papers (co-authoring alongside researchers in economics / sociology / psychology/ data science).
  • Planning, Development and Management of Panel Methodological Research Agenda
  • Work closely with the Research Fellows, Research Panel Manager and the research teamin monitoring and evaluating current panel practices for the Singapore Life Panel.
  • Ongoing analysis after each panel wave to monitor sample composition and attrition.
  • Assisting with the day-to-day panel operations of the Singapore Life Panel.
  • Maintaining familiarity with the latest developments in panel survey methodology.
  • External Engagements
  • Handle requests for information from researchers and other interested parties related to the panel.
  • Assist with the reports and presentation decks for external audiences and stakeholders.
  • Engage in outreach activities, including:
    • Organising symposiums, workshops, seminars, roundtables and conferences;
    • Community outreach programs;
    • International research collaborations;
    • Fundraising activities with private and government organisations.
  • Depending on their abilities and preferences, this person also may represent the Centre externally, whether in the media, professional organisations, government or other forums.
  • Other ad hoc administrative duties as required by the Centre

Qualifications

  • Bachelor's degree (for research assistant) and Master's degree (for research associate).
  • Background in economics or social sciences preferred.
  • At least 2 years of relevant research experience
  • Essential:
  • Quantitatively trained, with experience in STATA, R or SPSS.
  • Experienced in structural equation modelling or machine learning techniques.
  • Detail-oriented with exacting standards to maintain accuracy and impartiality in all work products.
  • Ability to work independently and cohesively in teams.
  • Ability to balance numerous tasks simultaneously and is organised.
  • Editorial judgment and proven ability to communicate research methodology and survey results clearly and concisely in the Centre's style in both verbal and written form
  • Preferred:
  • Clear capacity to train and develop skills in coworkers.
  • Ability to take a leadership role in managing the work of colleagues when needed.
  • Interest in expanding skills to cover new analytical tools and methods.
  • Advanced user of Microsoft Office Suite (Word, Excel, PowerPoint).

Other Information

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