Research Assistant (Social Lab)

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link https://careers.nus.edu.sg/job/Research-Assistant-%28Social-Lab%29-%2833979%29/33979-en_GB/

We regret that only shortlisted candidates will be notified.

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.