Americaninstitutesforresearch
Quantitative Researcher, Evidence Synthesis & Meta-Analysis
US-Remote | US-VA-Arlington | US-NC-Chapel Hill | US-IL-Chicago | US-CA-Sacramento | US-TX-Austin. Posted 9 days ago
The role
The Quantitative Researcher will design and conduct systematic reviews and meta-analyses across education, workforce, and health programs. They will apply advanced quantitative methods to impact evaluations and translate complex evidence into actionable insights.
What you will do
- Develop research designs and study protocols for evidence synthesis.
- Design and implement transparent, reproducible evidence synthesis workflows.
- Apply methods to extract and synthesize evidence from diverse research designs.
- Conduct meta-analyses using advanced statistical methods and software.
- Develop and apply evidence review frameworks and study quality standards.
- Contribute to the design and implementation of impact evaluations.
- Collaborate with clients and subject matter experts to refine evidence review criteria.
- Contribute to the design, testing, and improvement of tools and software.
- Develop and deliver training and professional learning activities.
- Prepare written materials like technical reports and policy briefs.
Required qualifications
- Master’s degree with at least 4 years of relevant experience, or a Ph.D., in education, statistics, research methods, or a related field.
- Demonstrated experience conducting systematic reviews and meta-analyses.
- Experience conducting literature screening, study coding, data extraction, effect-size calculation, and quantitative synthesis.
- Knowledge of diverse quantitative research designs including randomized controlled trials and quasi-experimental designs.
- Ability to assess study quality and apply quantitative methods in impact evaluation and evidence synthesis.
- Experience applying evidence standards, review criteria, or evidence-rating frameworks.
- Ability to communicate complex methodological concepts and research findings clearly.
- Expertise in advanced evidence synthesis methods including meta-analytic modeling and assessment of heterogeneity.
- Ability to assess methodological rigor and translate research evidence into evidence ratings.
- Ability to apply quantitative methods to the design and analysis of impact evaluations.
- Proficiency in a statistical programming language or software (e.g., R).
Nice to have
- Experience with or interest in applying AI-enabled tools to support evidence synthesis workflows.
Benefits
- Total Rewards Program
Before you apply
- Must be currently authorized to work in the U.S. on a full-time basis.
- Employment-based visa sponsorship (including H-1B sponsorship) is not available.
- Qualified candidates may need to meet certain residency requirements depending on project work.
- Selected candidates will undergo reference and background checks.
About the company
The American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance. It is headquartered in Arlington, Virginia.