Arizona State University
Assistant Director of Research and Evaluation
Arizona State University, Tempe, Arizona, us, 85285
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.
Essential Duties
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.
Required Knowledge, Skills, and Abilities
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.
Desired Qualifications
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 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.
Working Environment The Learning Engineering Institute is housed on the Tempe campus. The position is in‑person, Monday‑Friday 8:30 AM‑5:00 PM.
Location Campus: Tempe
Funding No Federal Funding.
Driving Requirement Driving is not required.
Instructions to Apply Applicants must submit a cover letter and resume/CV. Current employees and students should apply directly within Workday using the Jobs Hub. Electronic applications only. Attach all employment history in month/year format (e.g., 6/88 to 8/94). Provide documents via the attachment box or merge into one PDF.
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.
#J-18808-Ljbffr
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.
Essential Duties
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.
Required Knowledge, Skills, and Abilities
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.
Desired Qualifications
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 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.
Working Environment The Learning Engineering Institute is housed on the Tempe campus. The position is in‑person, Monday‑Friday 8:30 AM‑5:00 PM.
Location Campus: Tempe
Funding No Federal Funding.
Driving Requirement Driving is not required.
Instructions to Apply Applicants must submit a cover letter and resume/CV. Current employees and students should apply directly within Workday using the Jobs Hub. Electronic applications only. Attach all employment history in month/year format (e.g., 6/88 to 8/94). Provide documents via the attachment box or merge into one PDF.
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.
#J-18808-Ljbffr