Research Scientist - Education Data Systems

About the role

WIL is seeking a Research Scientist in education data systems to serve as principal investigator on research that uses state longitudinal data systems and linked education and workforce data to improve policy and practice.

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

Serve as principal investigator or co-PI on education data systems research proposals

Design studies using state longitudinal data systems (SLDS) and linked K-12, postsecondary, and workforce records

Partner with state education agencies on data access, data-sharing agreements, and research use of data

Lead analysis, data security, privacy (FERPA), and human-subjects (IRB) protections

Write research narratives, methods, and dissemination plans

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

Apply to be considered.

Requirements

Required

Track record leading education research using administrative or longitudinal education data

Experience working with state education agencies or state longitudinal data systems

Strong quantitative skills (e.g., Stata, R, SAS, or Python) and causal or descriptive methods

Knowledge of FERPA, data-sharing agreements, and IRB processes

Comfortable as a project-based contract collaborator; remote US

Nice to have

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

Prior IES or other federal education research award as PI or co-PI

Experience linking education and workforce (UI wage) records

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The evidence behind this listing

Workplace

Remote Employer field

Seniority

Not established

Employment type

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Location as listed

United States

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

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Security clearance

Not established

Citizenship

Not established