Postdoctoral Research Scientist in Statistical Modeling of Educational Data

Job Summary

The Institute of Cognitive Science at the University of Colorado Boulder anticipates hiring a full‑time postdoctoral fellow for statistical modeling of educational data. The project focuses on analyzing data related to improving educational outcomes for students, including student learning, engagement, and collaborative discourse during small group human tutoring and collaborative problem solving. The fellow will develop and apply analytical techniques, examine the impacts of interventions, and contribute to publications and grant proposals.

• Prepare large datasets for analysis by merging data from multiple sources and checking data integrity.
• Develop and apply statistical techniques for modeling large longitudinal, multilevel, multivariate datasets.
• Convert research questions into representative statistical models.
• Maintain and apply current best practices in open science.
• Disseminate results by leading publication efforts and assisting with reporting.
• Manage projects, including supervising project staff and students.

• Ph.D. in Quantitative Psychology, Statistics, Education or a related technical field (at the time of appointment).
• Strong writing skills and ability to conduct independent research as evidenced by multiple first‑author publications.
• Demonstrated expertise in analysis of complex multivariate datasets using advanced methods including structural equation modeling, instrumental variable analysis, mixed‑effects modeling, longitudinal data analysis, and multivariate time‑series modeling as evidenced by peer‑reviewed publications.
• Experience in cluster RCTs or quasi‑experimental design and data analysis.
• Expertise in statistical modeling (R and Python preferred).
• Theoretical foundation in learning science and cognitive science of learning.
• Experience in Bayesian analysis, latent growth curves analysis, multilevel modeling, data wrangling, missing data analysis, network modeling, multivariate time‑series and dynamical systems modeling, mediation and moderation analysis, multiple‑group modeling.
• Experience working within large, interdisciplinary teams and evidence of leadership.

• Salary ranging from $65,000 to $85,000 based on experience and qualifications.
• Eligible for medical, dental and life insurance, retirement benefits programs, monthly vacation and sick leave accruals.
• May offer relocation expense reimbursement of up to $2,500.
• Additional comprehensive benefits include tuition assistance, an ECO Pass for local transit, and other programs via the CU Advantage program.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.