🕒 14 days ago
Lead investigative research from evidence gathering through publication, combining blockchain intelligence, public records, and AI tools to uncover illicit financial networks and shape how journalists, policymakers, and investigators.
Economist - Education Policy
🕒 yesterday
Causal InferenceQuasi-experimental ResearchExperimental ResearchApplied Econometrics
📜 Description
- Design quasi-experimental or experimental research on K–12 education policy.
- Acquire and analyze large administrative education datasets.
- Lead estimation, robustness checks, and interpretation.
- Write research design, methods, and dissemination sections for proposals.
- Produce publication-quality papers and policy briefs.
- Contribute qualifications and past-performance narratives to proposals when authorized.
🛠️ Requirements
- 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
- PhD preferred (economics, public policy, education, or related field)
- Prior foundation- or federally funded education research
- State education data-sharing agreement experience
Full job description
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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