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Research Scientist

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: ETS
Full Time position
Listed on 2026-01-12
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

About ETS

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future‑ready. For more than 75 years, we’ve been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders.

Our world‑wide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE®, and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we’ve expanded our global capabilities: PSI, Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we’re partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere.

We deliver nearly 50 million tests annually and invite applications for an open‑rank Research Scientist position in the Large‑Scale Assessment (LSA) Foundational Research program.

Responsibilities
  • Conduct and publish research on foundational topics in large‑scale assessment, including survey sampling, missing data, and latent variable modeling.
  • Contribute to the development, evaluation, and implementation of statistical and psychometric methods for large‑scale assessment programs.
  • Collaborate with colleagues on projects related to operational assessments, methodological innovations, and research initiatives.
  • Provide methodological consultation and support to internal and external stakeholders.
  • Participate in proposal development for internal and external research funding.
  • Mentor junior staff and contribute to the professional development of the research team.
  • Disseminate research findings through peer‑reviewed publications, technical reports, conference presentations, non‑traditional venues (e.g., social media, research notes or blogs), and other appropriate channels.
  • Engage with the broader research community through professional service, advisory roles, and collaborative projects.
Qualifications
  • A Ph.D. or equivalent in statistics, psychometrics, survey statistics, educational measurement, mathematics, or a closely related quantitative field.
  • 3+ years of experience in an applied measurement or academic/statistical analysis environment.
  • Demonstrated expertise in at least one of the following: survey sampling, missing data methods, large‑scale assessment, or latent variable/mixed effects modeling.
  • Experience with statistical programming (e.g., R, Python, SAS) and data analysis in large‑scale assessment contexts.
  • Strong record of research productivity, including publications and presentations.
  • Ability to work collaboratively in multidisciplinary teams and communicate complex concepts to diverse audiences.
  • Commitment to advancing equity, fairness, and innovation in educational measurement.
Preferred Qualifications
  • Experience with operational assessment programs (e.g., NAEP, PISA, state or national testing).
  • Familiarity with matrix sampling, imputation, and advanced modeling techniques for complex survey data.
  • Knowledge of current trends and challenges in large‑scale educational assessment.
Education and Experience Requirements

For a junior‑level position: A Ph.D. or equivalent in a related field with one year of experience in the utilization of psychometric methods, statistical procedures, and their applications.

For a mid‑level position: A Ph.D. or equivalent with at least three years of experience in an applied measurement or academic/statistical analysis environment.

For a senior‑level position: A Ph.D. or equivalent with at least six years of experience in an applied measurement or statistical analysis environment.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

Industries

Education Administration Programs

Equal Opportunity Statement

ETS is an Equal Opportunity and Aff­irmative Action Employer of Women and Minorities, protected Veterans, and Individuals with Disabilities. ETS is a Drug‑free workplace.

ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.

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