Research Assistant/Associate (Data Analyst)

National University of Singapore; Singapore; On-site; SGD 50,000 - 75,000; Full time

Job summary

The National University of Singapore is seeking a Research Assistant/Associate (Data Analyst) to support data analysis in medical education and student development at Yong Loo Lin School of Medicine. The ideal candidate will manage large datasets, ensure data integrity, and conduct analyses to support decision-making. Required skills include problem-solving, familiarity with statistical software, and good communication skills. A Master's degree in a relevant field is preferred. This role offers an opportunity to contribute to important educational initiatives.

Qualifications

• Strong problem-solving and analytical skills, with an investigative mindset.
• Proficiency in quantitative and/or qualitative data analysis techniques.
• Basic understanding of psychometric principles (e.g., validity, reliability).
• Familiarity with statistical software (e.g., SPSS, R, Python).
• Ability to work independently and within multidisciplinary teams.
• Good communication skills for translating data into insights.
• Ability to prepare reports, presentations, and manuscripts.
• Basic project management skills.

Responsibilities

• Manage and maintain large datasets.
• Ensure data quality, consistency, and integrity.
• Perform data cleaning, analysis, and interpretation.
• Conduct psychometric analyses to support data quality.
• Support development and validation of data collection instruments.
• Design and conduct studies with appropriate methodology.
• Generate reports and present findings to stakeholders.
• Contribute to conference presentations and manuscripts.
• Collaborate across teams involved in student initiatives.

Skills

Problem-solving

Analytical skills

Data analysis techniques

Psychometric principles

Statistical software familiarity

Communication skills

Project management

Education

Master's degree in Medical Education, Education, Psychology, or a related field

Tools

SPSS

R

Python

Job description

Job Title: Research Assistant/Associate (Data Analyst)
University-Level Unit: Yong Loo Lin School of Medicine
Faculty/Department-Level Unit: Dean-Med-Centre for Medical Education
Employee Category: Research Staff
Location: Kent Ridge Campus

Job Description

The person will work with faculty and staff of the Office for Students (OfS) and CenMED to track, analyse and interpret data relevant to student development, wellbeing, and medical education. This includes data related to the school’s admissions exercise, student performance, assessments, and student surveys/interviews tracked during medical school. The role will adopt a mixed-methods approach, integrating quantitative and qualitative data, triangulating multiple data sources to provide a comprehensive and well-rounded understanding of student experiences and outcomes. The role will also include producing reports and supporting decision‑making on how best to collect, structure, and track ongoing data, including contributing to the design and improvement of data collection instruments and assessment tools.

Specific Duties of the Post

• Manage and maintain large datasets and databases
• Assist in ensuring data quality, consistency, and integrity across datasets
• Perform data cleaning, analysis, and interpretation using appropriate data analysis methodologies
• Conduct basic psychometric analyses on assessment, admissions, and other relevant datasets to support data quality and interpretation
• Conduct literature searches, synthesise key findings, and identify knowledge gaps
• Support the development and validation of instruments to collect data
• Design and conduct relevant studies with appropriate methodology (qualitative and quantitative)
• Generate reports and present findings to relevant stakeholders
• Contribute to conference presentations and manuscripts for peer‑reviewed journals
• Collaborate across teams and stakeholders involved in student development, wellbeing, and medical education initiatives

Qualifications

Required Skills

• Strong problem‑solving and analytical skills, with an investigative mindset
• Proficiency in quantitative and/or qualitative data analysis techniques
• Basic understanding of psychometric principles (e.g., validity, reliability, item analysis)
• Familiarity with statistical software (e.g., SPSS, R, Python, or equivalent)
• Ability to work effectively both independently and within multidisciplinary teams
• Good communication skills, with the ability to translate data into meaningful insights for stakeholders
• Ability to prepare reports, presentations, and manuscripts for publication
• Basic project management skills

Would be considered an advantage

• Proven knowledge of data collection methods and study design
• Experience in qualitative research methods (focus groups, thematic or content analysis)
• Content knowledge in medical education
• Experience in educational or assessment contexts
• Master’s degree in Medical Education, Education, Psychology, or a related field would be an advantage