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:
Opportunity type: this is a contingent proposal opportunity in WILs 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 youll 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
Research Scientist - Education Data Systems in remote at Unknown Company
This position is listed as contract and able to be worked remotely.