Quantitative Researcher, Evidence Synthesis – Meta-Analysis
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Job Description
Quantitative Researcher designing systematic reviews, meta-analyses, and impact evaluations for AIR’s education and social science research. Translating evidence into actionable policy insights.
Responsibilities:
- Develop research designs and study protocols for evidence synthesis across education, workforce, and health programs and topic areas
- Design and implement transparent, reproducible evidence synthesis workflows, including literature screening, data extraction, quality assessment, effect-size calculation, and meta-analysis
- Extract and synthesize evidence from randomized controlled trials, quasi-experimental studies, single-case designs, and other quantitative research approaches
- Conduct meta-analyses using advanced statistical methods and software, including assessment of heterogeneity, variation in effects, and selective reporting bias
- Develop and apply evidence review frameworks, study quality standards, and evidence-rating criteria
- Contribute to impact evaluations, including randomized controlled trials and quasi-experimental studies, using quantitative methods to estimate program impacts
- Collaborate with clients and subject matter experts to refine evidence review criteria and processes
- Contribute to designing, testing, and improving evidence synthesis tools and software
- Develop and deliver training and professional learning activities related to evidence synthesis methods and tools
- Prepare technical reports and policy briefs for policymakers and decision makers
- Present findings to clients, professional associations, and the public
- Manage or lead projects and tasks, assuming increasing project-management responsibility
- Contribute to research proposals that generate external funding
- Mentor and support junior staff with methodological guidance and feedback
Requirements:
- A Master’s degree with at least 4 years of relevant experience, or a Ph.D., in education, statistics, research methods, or a related field, with demonstrated experience conducting systematic reviews and meta-analyses
- Experience conducting key components of systematic reviews and meta-analyses, including 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, and demonstrated 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 in research syntheses, evidence clearinghouses, or related initiatives
- Demonstrated ability to communicate complex methodological concepts and research findings clearly, both orally and in writing, to technical and non-technical audiences
- Expertise in advanced evidence synthesis methods, including meta-analytic modeling, assessment of heterogeneity and variation in effects, and evaluation of selective reporting bias
- Ability to assess methodological rigor across a range of study designs and translate research evidence into transparent, defensible evidence ratings or recommendations
- Ability to apply appropriate quantitative methods to the design and analysis of impact evaluations, including experimental and quasi-experimental studies
- Experience with or interest in applying AI-enabled tools to support literature screening, coding, data extraction, or other components of evidence synthesis
- Proficiency in a statistical programming language or software (e.g., R) and ability to learn and apply new statistical and methodological tools as needed across projects
- Currently authorized to work in the U.S. on a full-time basis
- Employment-based visa sponsorship, including H-1B sponsorship, is not available
- Depending on project work, qualified candidates may need to meet certain residency requirements
- Selected candidates will undergo reference and background checks
- Adherence to AIR’s child safeguarding principles and drug-free workplace requirements
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