Quantitative Researcher: Evidence Synthesis & Meta-Analysis

American Institutes for Research; Sacramento (CA); A distancia; USD 87.000 - 110.000; Jornada completa

Descripción de la vacante

American Institutes for Research (AIR) seeks a Quantitative Researcher to design and conduct rigorous evidence synthesis and meta-analyses in education projects. You will translate complex findings into actionable policy insights for clients and stakeholders, with emphasis on transparent methods and robust quantitative analysis.

Responsibilities include developing study protocols, applying advanced statistical methods, collaborating with researchers and subject matter experts, and contributing

Formación

• 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.

Responsabilidades

• 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.
• Apply appropriate methods to extract and synthesize evidence from diverse research designs, including randomized controlled trials, quasi-experimental studies, single-case designs, and other quantitative research approaches.
• Conduct meta-analyses using advanced statistical methods and software, including methods for assessing heterogeneity, exploring variation in effects, and evaluating selective reporting bias.
• Develop and apply evidence review frameworks, study quality standards, and evidence-rating criteria for evidence clearinghouses, research syntheses, and related initiatives.
• Contribute to the design and implementation of impact evaluations, including randomized controlled trials and quasi-experimental studies, using appropriate quantitative methods to estimate program impacts.
• Collaborate with clients and subject matter experts to develop and refine evidence review criteria and processes that align with project goals and policy needs.
• Contribute to the design, testing, and improvement of tools and software that support evidence synthesis workflows and methods.
• Develop and deliver training and other professional learning activities related to evidence synthesis methods and tools.
• Prepare written materials (e.g., technical reports and policy briefs) that communicate findings in ways that are accessible and useful to policymakers and other decision makers.
• Present findings to clients, professional associations, and the public.
• Manage or lead projects and tasks, assuming greater responsibility for project management over time.
• Participate in, and where appropriate lead, efforts to develop research proposals that generate external funding for evidence synthesis and impact evaluation studies.
• Mentor and support junior staff by providing methodological guidance, sharing approaches to solving problems, and providing feedback on their work.

Conocimientos

Meta-analysis

Systematic reviews

Quantitative methods

R programming

AI-assisted screening

Educación

Master's degree in education, statistics, or related field

Ph.D.

Herramientas

R

SAS

Descripción del empleo

American Institutes for Research (AIR) seeks a Quantitative Researcher to design and conduct rigorous evidence synthesis and meta-analyses in education projects. You will translate complex findings into actionable policy insights for clients and stakeholders, with emphasis on transparent methods and robust quantitative analysis.

Responsibilities include developing study protocols, applying advanced statistical methods, collaborating with researchers and subject matter experts, and contributing