Assistant Director of Research and Evaluation

Assistant Director of Research and Evaluation

Campus:
Tempe

Job Reference: JR122921

End Date:
July 7, 2026

Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field including two (2) years managerial experience; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

The Assistant Director of Research will support The Learning Engineering Institutes’ strategic goals by spearheading institute research activities, leading a team of researchers, and driving the development and implementation of impactful research initiatives. This role is instrumental in advancing rigorous research, evidence-based practices, contributing to educational innovation, and inclusive excellence within LEI. Working closely with faculty, researchers, and other institutional stakeholders, the Assistant Director will oversee and mentor research teams, secure funding for large-scale research projects, and lead assessment and evaluation efforts to align with sponsor priorities, institutional, and national research agendas.

Reporting directly to the Associate and Executive Directors, this position offers the opportunity to foster collaboration, innovation, and educational impact within ASU's Learning Engineering Institute.

Position Salary Range: $85,000 - $90,000 per year; offer dependent on experience

• 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.

• Develop and implement assessment frameworks to evaluate program effectiveness and educational impact.
• Guide the creation of assessment tools, rubrics, surveys, and data collection instruments.

• Oversee data collection, management, and analysis for research and evaluation purposes.
• Utilize quantitative and qualitative methods to analyze data and generate insights.

• Manage and mentor a team of research scientists and postdoctoral scholars, guiding their work to advance institute projects and support their professional growth and success.
• Provide regular feedback and support in research design, data analysis, publication strategies, and grant writing.

• Doctoral Degree in education, learning sciences, psychology, cognitive science, quantitative psychology, educational psychology, human systems engineering, or a related field.
• Ten (10) years of research or evaluation experience in educational or related fields, with at least five (5) 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 application of the learning engineering process.
• Strong understanding of learning sciences and assessment of educational outcomes.
• Experience in technology-enhanced learning, AI for Education, large-scale data mining, or a related domain.
• Knowledge of learning analytics, data mining, and educational assessment frameworks.
• Experience with assessment of learning outcomes and evaluation of learning activities and environments in higher education.

ASU's Learning Engineering Institute aims to transform learning environments and experiences to empower equitable student engagement, improved learning outcomes, and success across large, varied populations of learners. Drawing on behavioral, design, computer, and data sciences, the LEI advances research and development around educational technology to develop data-informed, technologically enhanced innovations in learning and instruction. The LEI's transdisciplinary approach includes systematically collecting large-scale learning data while respecting data privacy, analyzing data to make better predictions, and rapidly iterating new approaches to improve outcomes.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law.