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Quantitative Research Associate, Human and Community Development

🏢 Americaninstitutesforresearch · 📍 US-Remote | US-VA-Arlington | US-NC-Chapel Hill | US-IL-Chicago | US-CA-Sacramento | US-TX-Austin · 💼 remote
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Position Summary & Responsibilities

AIR is seeking a Quantitative Research Associate to support applied research, evaluation, and technical assistance projects within the Human and Community Development program. Working as part of interdisciplinary project teams, the Research Associate will contribute to research and implementation efforts across a range of policy areas.

The Human and Community Development program generates evidence-informed solutions and fosters cross-sector collaboration. The Research Associate will contribute primarily to projects in one of the following portfolios, with opportunities to support work across both portfolios based on their skills, experience, and interests:

  • Children & Families: Early childhood, early learning, child care, maternal and infant health, and child welfare.
  • Safety & Justice: Violence prevention and intervention, youth and adult diversion services, wraparound facilities and reentry supports, and national defense and law enforcement readiness.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The responsibilities for the position include:

🎯 Candidate Preparation Guide For Americaninstitutesforresearch Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assesses rigorous methodological precision, objective research integrity, and the ability to translate complex data science into actionable public policy.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Advancing a partisan agenda or showing bias in research interpretation.
  • 2. Prioritizing speed over empirical rigor and peer-reviewed validity.
  • 3. Inability to explain complex quantitative models to non-technical policymakers.
✨ Recommended Role Alignment Hook:

I combine rigorous statistical methodologies with clear policy communication to ensure research directly drives equitable societal outcomes.

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