Quantitative Researcher, Evidence Synthesis – Meta-Analysis

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Design research frameworks and study protocols aimed at evidence synthesis within education, workforce, and health sectors and topics.

• Create and execute transparent, reproducible evidence synthesis processes, encompassing literature screening, data extraction, quality assessment, effect-size calculations, and meta-analysis.

• Extract and integrate evidence from randomized controlled trials, quasi-experimental studies, single-case designs, and various quantitative research methodologies.

• Conduct meta-analyses employing advanced statistical techniques and software, including the evaluation of heterogeneity, variations in effects, and selective reporting bias.

• Develop and implement evidence review frameworks, study quality benchmarks, and evidence-rating standards.

• Assist in impact evaluations, such as randomized controlled trials and quasi-experimental studies, utilizing quantitative approaches to determine program impacts.

• Work collaboratively with clients and subject matter experts to refine evidence review standards and procedures.

• Participate in the design, testing, and enhancement of evidence synthesis tools and software.

• Create and facilitate training and professional development activities related to evidence synthesis methodologies and tools.

• Prepare technical documentation and policy briefs tailored for policymakers and decision-makers.

• Present research findings to clients, professional organizations, and the general public.

• Oversee or lead projects and tasks, taking on progressively greater project-management responsibilities.

• Contribute to research proposals that seek external funding sources.

• Mentor and provide methodological guidance and feedback to junior staff members.

⛳️ Requirements

• A Master’s degree and a minimum of 4 years of relevant experience, or a Ph.D., in fields such as education, statistics, research methods, or a related discipline, with proven experience in systematic reviews and meta-analyses.

• Experience in executing key elements of systematic reviews and meta-analyses, including literature screening, study coding, data extraction, effect-size calculations, and quantitative synthesis.

• Familiarity with a variety of quantitative research designs, including randomized controlled trials and quasi-experimental designs, along with a proven ability to evaluate study quality and implement quantitative methods in impact evaluation and evidence synthesis.

• Experience in applying evidence standards, review criteria, or evidence-rating frameworks in research syntheses, evidence clearinghouses, or similar initiatives.

• Proven ability to communicate complex methodological concepts and research results clearly, both verbally and in writing, to both technical and non-technical audiences.

• Expertise in advanced evidence synthesis techniques, such as meta-analytic modeling, assessment of heterogeneity and variations in effects, and evaluation of selective reporting bias.

• Ability to evaluate methodological rigor across various study designs and convert research evidence into transparent, defensible evidence ratings or recommendations.

• Capability to apply suitable quantitative methods for the design and analysis of impact evaluations, including both experimental and quasi-experimental studies.

• Experience with or enthusiasm for utilizing AI-enabled tools to facilitate literature screening, coding, data extraction, or other aspects of evidence synthesis.

• Proficiency in a statistical programming language or software (e.g., R) and the ability to learn and apply new statistical and methodological tools as needed for various 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 requirements, qualified candidates may need to satisfy specific residency criteria.

• Selected candidates will be subject to reference and background checks.

• Compliance with AIR’s child safeguarding policies and drug-free workplace requirements is mandatory.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and career growth.

• Collaborative and inclusive work environment.