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Economist - Education Policy

AlphaX United States

Remote Checked today

Pay not stated

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About the role

WIL is seeking an Economist in education policy to lead causal research on K-12 education policy and student outcomes using large administrative datasets.

About the Workforce Intelligence Lab (WIL)

The Workforce Intelligence Lab (WIL) is an applied workforce research initiative. WIL builds methodology-transparent workforce intelligence, including labor demand signals, occupational and credential pathways, and training-to-employment outcome measures, and works with education, employer, research, and community partners to turn that evidence into grant and sponsored-project collaborations. Learn more: https://wilinstitute.org

Opportunity type: this is a contingent proposal opportunity in WIL's expert collaborator network, not a funded vacancy. It supports a competitive grant application WIL is preparing; no award has been made, and there is no guaranteed work or funding. If an award proceeds and the staffing model calls for it, WIL may offer a project-based contract or consulting engagement. We will ask before naming you or including your resume in any proposal.

What you'll do

Design causal research (quasi-experimental or experimental) on K-12 education policy questions

Acquire and analyze large administrative education datasets

Lead estimation, robustness checks, and interpretation

Write research design, methods, and dissemination sections of proposals

Produce publication-quality papers and policy briefs

Contribute qualifications and past-performance narrative to WIL proposals when you authorize naming

Apply to be considered.

Requirements

Required

Published or working-paper record using causal-inference methods in education or labor economics

Experience with large administrative education or labor datasets

Proficiency in Stata, R, or Python for applied econometrics

Clear writing for research and policy audiences

Comfortable as a project-based contract collaborator; remote US

Nice to have

PhD preferred (economics, public policy, education, or related field)

Prior foundation- or federally funded education research

State education data-sharing agreement experience

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The evidence behind this listing

Workplace
Remote Employer field
Seniority
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Employment type
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Location as listed
United States

Pay and work authorization

Stated pay
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Visa sponsorship
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Security clearance
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