Quantitative Researcher, Evidence Synthesis – Meta-Analysis

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🏄 California, Illinois, +3 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $87k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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American Institutes for Research

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1946

🏥 Healthcare

💼 Consulting

📚 Education

💰 Grant on 2017-11

Healthcare • Consulting • Education

American Institutes for Research is dedicated to advancing evidence and improving lives through rigorous research and evaluation. The organization focuses on education, health, human services, and international initiatives, providing technical assistance and data science capabilities to address critical social issues. With a mission to generate evidence that contributes to a better and more equitable world, AIR collaborates with communities, policymakers, and researchers to support evidence-based solutions across various sectors.

📋 Description

• 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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