Teams at American Institutes for Research

Conduct quantitative research and evaluation on education policy and systems questions. Develop inferential analyses, reproducible data workflows, quality-control processes, and analytic tools. Review code, mentor junior staff, translate findings for technical and nontechnical audiences, manage project tasks, support proposals, and collaborate with clients and stakeholders.

Conduct quantitative research and evaluation for education policy and systems projects. Apply inferential and machine learning methods, manage datasets, build reproducible workflows, quality-check analytic code, mentor junior staff, and translate findings for clients and stakeholders. The role also involves managing analytic deliverables, supporting proposals, and collaborating on research reports, presentations, and technical briefings.

Designs and implements secure, scalable applications, data architectures, integrations, analytics, and decision-support workflows. Leads end-to-end solution architecture across data ingestion, modeling, pipelines, applications, and cloud platforms. Develops directly with React, TypeScript, Python, SQL, REST APIs, and Palantir Foundry/Vantage. Translates research and operational requirements into reusable architectures, workflow automation, and platform-native applications while mentoring technical staff and collaborating across multidisciplinary teams.