Education Policy & Workforce Researcher

RAND Corporation; Santa Monica (CA); On-site; USD 111,000 - 183,000; Full time

Job summary

RAND Corporation in Santa Monica, CA, invites applications for Education Policy Researchers in the Economics, Sociology and Statistics (ESS) department to study career and technical education and education-to-workforce transitions. You will contribute to projects informing policymakers and funders through rigorous empirical work.

The role involves linking state administrative data, applying causal inference, and communicating findings via reports and briefings, with opportunities to mentor

Qualifications

• Demonstrated training in quantitative research methods.
• Strong analytic skills and intellectual curiosity.
• Excellent verbal and written communication in English.
• Ability to work effectively in multidisciplinary teams.
• Commitment to RAND's values of quality and objectivity.
• Experience with CTE, education policy, or labor market outcomes is valued.

Responsibilities

• Design and execute empirical studies on education-to-workforce transitions.
• Link and analyze state administrative datasets spanning K-12, postsecondary, and workforce.
• Apply causal inference and advanced quantitative methods to evaluate programs.
• Communicate findings to policy audiences via publications and reports.
• Contribute to business development including proposals and stakeholder relationships.
• Mentor junior researchers and foster a collaborative environment.

Skills

Quantitative methods

English communication

Team collaboration

Policy research

Education

PhD in economics

Tools

R

Stata

SQL

Python

Job description

RAND Corporation in Santa Monica, CA, invites applications for Education Policy Researchers in the Economics, Sociology and Statistics (ESS) department to study career and technical education and education-to-workforce transitions. You will contribute to projects informing policymakers and funders through rigorous empirical work.

The role involves linking state administrative data, applying causal inference, and communicating findings via reports and briefings, with opportunities to mentor