Quantitative Researcher, Learning Supports at Americaninstitutesforresearch

Americaninstitutesforresearch

Mid LevelFull-timePythonMachine LearningGitML

Salary Range

$51,000 - $69,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

The American Institutes for Research (AIR) is seeking a Quantitative Researcher to join their Learning Supports program. This role involves providing foundational and advanced analytic support across multiple project teams, taking ownership of end-to-end quantitative workflows, and leading inferential modeling tasks.

Key Responsibilities

→Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Learning Supports initiatives.
→Apply appropriate quantitative methods to collect, manage, analyze, and interpret data, including leading inferential analyses for both causal and non-causal research questions.
→Develop, maintain, and document reproducible and collaborative analytic workflows, including data management processes and quality control procedures.
→Review, quality-check, and strengthen analytic code and outputs produced by junior staff; provide guidance and mentorship to promote best practices in analysis and documentation.
→Translate complex analytic findings into clear, actionable insights for client reports, technical memos, presentations, and briefings.
→Manage discrete project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with project leadership and clients.
→Support proposal development by contributing to technical and analytic sections and helping shape study design and analytic approaches.
→Engage with internal and external stakeholders through meetings and dissemination activities, contributing to a collaborative and inclusive team environment.

Requirements

✓PhD in a relevant field (e.g., Economics, Statistics, Public Policy, Education, Public Health, Human Development, Political Science, Psychology, Sociology), or a master’s degree with at least 4 years of applied quantitative research experience.
✓Demonstrated experience supporting or leading quantitative research or evaluation projects, preferably for public-sector, nonprofit, or education-focused clients.
✓Experience designing and executing inferential analyses and contributing to research reports, briefs, or presentations.
✓Experience managing and maintaining analytic datasets, including documentation, quality control, and reproducible workflows.
✓Proficiency in R, Stata, or Python for applied quantitative analysis.
✓Strong analytical and problem-solving skills, with attention to accuracy and research best practices.
✓Strong communication skills, with the ability to translate complex analyses for technical and non-technical audiences.
✓Ability to manage multiple tasks and deadlines independently while contributing to a collaborative team environment.