Impactful Research Associate: Education & Mixed-Methods

Singapore University of Social Sciences (SUSS); Singapore; On-site; SGD 48,000 - 72,000; Full time

Job summary

Singapore University of Social Sciences (SUSS) seeks a Research Assistant / Research Associate to support an Adaptive Learning System–Enabled Community Academic Support Programme. You will work with the PI and team on mixed-methods research, data management, and dissemination across multiple sites.

The role requires strong qualitative skills, experience with interviews and coding, and familiarity with NVivo and SPSS/R.

Qualifications

• Master’s degree in Education, Psychology or related Social Science.
• Demonstrated experience in both quantitative and qualitative research methods.
• Strong qualitative research capabilities including interviews/focus groups, coding and analysis.
• Experience with quantitative data management and statistical analysis.
• Familiarity with NVivo and SPSS or R for data analysis.
• Excellent organisational and project coordination skills for multi-site projects.

Responsibilities

• Support planning and implementation of qualitative and quantitative research activities.
• Conduct interviews, focus groups, observations and other qualitative data collection.
• Prepare research instruments, interview protocols and surveys.
• Manage, clean and prepare qualitative and quantitative data for analysis.
• Perform qualitative coding and thematic analysis.
• Support quantitative data management and statistical analysis.
• Coordinate large-scale research activities and logistics across sites and partners.
• Maintain accurate project records and research documentation.
• Assist with preparation of reports, presentations and manuscripts.

Skills

Qualitative research

Mixed-methods research

Interviews/Focus groups

Data analysis

Research coordination

Education

Master’s degree in Education, Psychology or related Social Science

Tools

NVivo

SPSS

R

Job description

Singapore University of Social Sciences (SUSS) seeks a Research Assistant / Research Associate to support an Adaptive Learning System–Enabled Community Academic Support Programme. You will work with the PI and team on mixed-methods research, data management, and dissemination across multiple sites.

The role requires strong qualitative skills, experience with interviews and coding, and familiarity with NVivo and SPSS/R.