Senior Research Associate

Centre for Science of Student Learning; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Centre for Science of Student Learning in Bengaluru seeks a Senior Research Associate with a strong foundation in psychometrics and quantitative analysis to support design, analysis, and interpretation of large-scale student assessments.

You will apply CTT/IRT methods, analyze datasets with R/Python, and translate outputs into clear insights for education stakeholders while contributing to policy and program design across education systems.

Qualifications

• Master’s degree in Statistics, Psychology, Cognitive Science, Education
• Measurement, Economics, Data Science, or related fields
• 3–5 years of relevant analytical or research experience

Responsibilities

• Conduct psychometric analysis using CTT and IRT
• Analyze large-scale assessment datasets with R, ensuring data quality and consistency
• Develop reproducible analysis scripts, maintain documentation
• Create analytical summaries and visualizations for technical and non-technical reports
• Collaborate with research leads, content teams, and field teams to deliver outputs

Skills

R and Python for statistical analysis

Psychometrics and educational

IRT, multivariate analysis, factor

Large real-world datasets

Analytical problem-solving

English communication

Education

Master’s degree in Statistics, Psychology, Cognitive Science, or Education

Measurement, Economics, Data Science, or related fields

Job description

WHY US

Many companies may provide you a job, but very few give you the opportunity to create something meaningful not only for you but that impacts lives around you at scale. We believe that we have the opportunity of a lifetime at CSSL – to address some of the most challenging problems of education - and to put our own ding on the universe!

If this resonates with you and you think you have the necessary skill sets and would like the opportunity of a lifetime to explore, grow and stretch yourself to your fullest potential, then this may be the right place for you!

The growth potential for the right candidates is immense as the company is growing fast in both the academic space and social emotional arena as a leading provider internationally.

Role Summary

We are looking for a Senior Research Associate with a strong foundation in psychometrics and quantitative analysis to support the design, analysis, and interpretation of large-scale student assessments. The role involves conducting item- and test-level analyses, contributing to rigorous research studies, and translating complex analytical outputs into clear, decision-relevant insights for education stakeholders.

Key responsibilities include ensuring data quality and analytical rigor, applying appropriate statistical and psychometric methods, and contributing to analytical frameworks that inform policy decisions, program design, and implementation improvements across education systems. The role also offers opportunities to work on the measurement and analysis of social-emotional and life skills.

Key Responsibilities

• Conduct psychometric analysis using Classical Test Theory (CTT) and Item
• Response Theory (IRT)
• Analyze large-scale assessment datasets using R, ensuring data quality and
• consistency
• Develop reproducible analysis scripts, maintain documentation, and follow
• version-controlled workflows
• Create analytical summaries, visualizations, and inputs for technical and
• non-technical reports
• Collaborate with research leads, content teams, and field teams to support
• timely and accurate delivery of analytical outputs

Required Qualifications

• Master’s degree in Statistics, Psychology, Cognitive Science, Education
• Measurement, Economics, Data Science, or related fields
• 3–5 years of relevant analytical or research experience

  Required Skills

  • Strong proficiency in R and/or Python for statistical analysis
  • Working knowledge of psychometrics and educational measurement
  • Understanding of Item Response Theory (IRT), multivariate analysis, and
  • factor analysis
  • Ability to work with large, real-world datasets
  • Strong analytical and problem-solving skills.
  • Clear written and verbal communication in English.

  Preferred

  • Experience with large-scale educational assessments
  • Familiarity with R
  • Prior exposure to education systems or social-sector research

  Why Join

  • Work on meaningful, system-level education problems
  • Learn and apply rigorous measurement science in real contexts
  • Collaborative, meritocratic, and research-driven environment