Education Policy Researcher (CTE & Workforce)

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

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Savings plan

Paid time off

Job summary

RAND Corporation's Economics, Sociology and Statistics (ESS) department seeks Education Policy Researchers to study career and technical education and education-to-workforce transitions. You will work on longitudinal analyses of state administrative data linking K-12, postsecondary, and labor market outcomes.

Applicants should have strong quantitative research skills, experience with causal inference, and a PhD in economics, policy analysis, statistics, sociology, or related fields.

Qualifications

• PhD required or in progress in a relevant field.
• Experience with causal inference methods (e.g., DiD, IV, matching).
• Experience linking K-12, postsecondary, and workforce data is valued.

Responsibilities

• Design and execute rigorous empirical studies on high school to postsecondary and workforce transitions.
• Link and analyze state administrative datasets spanning K-12, postsecondary, and workforce systems.
• Apply causal inference and advanced quantitative methods to evaluate programs.
• Communicate findings to policy audiences through reports and presentations.
• Mentor junior researchers and contribute to a collaborative, inclusive research environment.

Skills

Quantitative methods

Analytical thinking

Verbal communication

Written communication

Team collaboration

Policy analysis

Education

PhD or in progress (economics, policy analysis, statistics, sociology)

Job description

RAND Corporation's Economics, Sociology and Statistics (ESS) department seeks Education Policy Researchers to study career and technical education and education-to-workforce transitions. You will work on longitudinal analyses of state administrative data linking K-12, postsecondary, and labor market outcomes.

Applicants should have strong quantitative research skills, experience with causal inference, and a PhD in economics, policy analysis, statistics, sociology, or related fields.