About this 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
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Design causal research (quasi-experimental or experimental) on K-12 education policy questions
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Acquire and analyze large administrative education datasets
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Lead estimation, robustness checks, and interpretation
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Write research design, methods, and dissemination sections of proposals
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Produce publication-quality papers and policy briefs
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Contribute qualifications and past-performance narrative to WIL proposals when you authorize naming
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Apply to be considered.
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Requirements
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Required
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Published or working-paper record using causal-inference methods in education or labor economics
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Experience with large administrative education or labor datasets
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Proficiency in Stata, R, or Python for applied econometrics
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Clear writing for research and policy audiences
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Comfortable as a project-based contract collaborator; remote US
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Nice to have
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PhD preferred (economics, public policy, education, or related field)
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Prior foundation- or federally funded education research
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State education data-sharing agreement experience