Research Assistant (Social Lab) (33979)

National University of Singapore

Singapore

On-site

SGD 42,000 - 76,000

Full time

14 days+
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Job summary

Institute of Policy Studies in Singapore seeks a capable research assistant to support literature reviews, data collection and analysis, and the design of survey instruments for social policy research.

You will work with SPSS, R, and Qualtrics, coordinate fieldwork with a dedicated team, and prepare progress reports and papers for internal and external audiences. A Bachelor’s degree and strong quantitative skills are required.

Qualifications

  • Bachelor’s degree with relevant work experience.
  • Strong grounding in quantitative methods and capability to handle large datasets.
  • Familiarity with SPSS, Qualtrics, or R for data analysis.

Responsibilities

  • Assess literature and prepare summaries.
  • Collect, clean, format, and analyse data using statistical software and survey platforms.
  • Assist in designing survey instruments and experiments, including sampling strategies and protocols.
  • Prepare documentation for ethics board reviews and progress reports.
  • Engage stakeholders and coordinate fieldwork with a dedicated operations team.

Skills

Quantitative methods
Data analysis
Statistics
SPSS
Qualtrics
R

Education

Bachelor's degree

Tools

SPSS
Qualtrics
R

Job description

Job Description
Core Responsibilities
  • Scoping and collating literature reviews
  • Collecting, cleaning, formatting, and analysing primary/secondary data using statistical software (SPSS / R) and/or survey platforms (e.g., Qualtrics)
  • Managing and running research-driven programming and events
  • Preparing documentation for research ethics board reviews
  • Preparing interview/focus group questionnaires
  • Assisting in the design of survey instruments and experiments, including sampling strategies, questionnaire development, and data-collection protocols
  • Managing some aspects of fieldwork administration including field interviewer briefings, project progress monitoring, and data quality controls, in partnership with a dedicated fieldwork operations team
  • Engaging and managing stakeholders across workstreams
  • Attending project meetings, briefings, and subject-matter-expertise seminars as necessary
  • Summarising project results and preparing progress reports for the PI and funding agencies
  • Writing papers, articles, reports, chapters, and preparing presentations for internal, stakeholder, and public consumption
  • Presenting findings or analyses for internal, stakeholder, and public consumption as necessary
Ad-hoc Responsibilities
  • Assisting with events and outreach associated with research workstreams, such as rapporteuring, planning, and hosting conferences and workshops
  • Other administrative tasks as assigned
Qualifications

To be considered for this role, you should fulfil the following criteria at a minimum:

  • Have an excellent academic track record, including a Bachelor's with relevant work experience.
  • Have strong grounding in quantitative methods and proven ability to handle and analyse large datasets.
  • Be familiar with statistical and programming software (especially SPSS, Qualtrics, and/or R) and data analysis.

Additionally, you will be favourably considered if you:

  • Possess strong English language communication skills, with an ability to write in a clear, engaging, coherent, and expedited fashion.
  • Exhibit keen interest in research pertaining to social issues, sentiments, and policies.
  • Possess experience in conducting survey fieldwork or other forms of research data collection.
  • Possess experience working with quantitative data in a research setting.
  • Demonstrate strong commitment to meeting deadlines and have a track record of producing work that reflects a maturity of thought.
  • Are highly attentive to detail and committed to data accuracy and quality.
  • Be independent and initiated.
More Information

Location:Bukit Timah Campus

Organization: Institute of Policy Studies

Department : Institute of Policy Studies

Employee Referral Eligible: No

Job requisition ID : 33979

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