Assistant Director of Research and Evaluation

Assistant Director of Research and Evaluation

Apply for the Assistant Director of Research and Evaluation role at Arizona State University
. This full‑time research administration position offers a salary range of $85,000‑$90,000 per year, depending on experience.

Job Profile Summary
Plans and develops research programs within a division, center, or department, solicits research opportunities, develops policies and procedures, and has significant responsibility for the overall functioning and effectiveness of research studies.

• Research Coordination and Leadership
• Assist in developing and executing research strategies to support LEI’s objectives.
• Collaborate with researchers, ASU faculty, and external partners to design and conduct research projects.
• Ensure ethical standards and best practices in research methodologies, timelines, and budgeting.
• Provide guidance to early career researchers on research methods, analysis, and dissemination.
• Assessment and Evaluation
• Develop and implement assessment frameworks to evaluate program effectiveness and educational impact.
• Guide the creation of assessment tools, rubrics, surveys, and data collection instruments.
• Work with instructional designers to align assessment methodologies with learning objectives.
• Data Collection and Analysis
• Oversee data collection, management, and analysis for research and evaluation purposes.
• Utilize quantitative and qualitative methods to analyze data and generate insights to support student success.
• Ensure data integrity, accuracy, and consistency while maintaining security and privacy through collaboration with data analysts.
• Reporting and Dissemination
• Prepare and present research findings and assessment results to LEI leadership, faculty, stakeholders, and the broader research community.
• Contribute to academic publications, conferences, and professional networks to share knowledge.
• Promote the integration of research findings into LEI’s projects and instructional materials.
• Stakeholder Collaboration and Consultation
• Build and maintain relationships with ASU faculty and partners across the institution and external partners.
• Provide consultation on research design, data analysis, and evaluation practices.
• Engage in collaborative projects aimed at enhancing diversity and innovation within LEI.
• Research Team Management and Professional Development
• Manage and mentor a team of research scientists and postdoctoral scholars.
• Provide regular feedback and support in research design, data analysis, publication strategies, and grant writing.
• Create opportunities for collaboration, skill‑building, and career development.
• Serve as a resource and advocate for early‑career researchers.

• Strong understanding of research methodologies, assessment practices, and data analysis techniques.
• Demonstrated experience in designing and conducting research and evaluation projects.
• Proficiency in statistical analysis software and data visualization tools.
• Excellent written and verbal communication skills, with the ability to present complex data effectively.
• Proven experience with managing multiple projects within complex research‑focused environments.
• Ability to build professional relationships and work collaboratively across departments.
• Understanding of data instrumentation and collection throughout the learning engineering process.

• Doctoral degree in education, learning sciences, psychology, cognitive science, quantitative psychology, educational psychology, human systems engineering, or a related field.
• Ten years of research or evaluation experience in education or related fields, with at least five years in a supervisory capacity.
• Demonstrated experience in securing research grant funding and executing large‑scale research projects with interdisciplinary collaborators.
• Strong analytical skills with experience in statistical software (e.g., R, Python, SPSS).
• Ability to manage multiple projects simultaneously and adapt to changing priorities.
• Expertise in the learning engineering process.
• Strong understanding of learning sciences and assessment of educational outcomes.
• Experience in technology‑enhanced…