Professional Practice Associate Professor

Utah State University•Logan, UT

8d•Onsite

About The Position

The Data Analytics and Information Systems (DAIS) Department in the Jon M. Huntsman School of Business at Utah State University invites applications for a non-tenure-track Professional Practice Associate Professor. This role is designed to support and strengthen programs in data analytics, data science, bioinformatics, and health analytics. The position will also provide critical student mentoring within the Huntsman School’s Analytics Solutions Center. This is an academic-year (nine-month) faculty position with an anticipated start date of August 1, 2026. The role focuses on supporting the development and maintenance of programs of excellence in teaching.

Requirements

PhD in Statistics, Data Science, Quantitative Health or Psychology, Econometrics, or a related field
At least five years of experience teaching and mentoring students in analytics, database management, programming, statistics, marketing analytics, and/or econometrics in a college or university setting.
Substantial background and professional experience in healthcare analytics
Expertise in complex modeling techniques, such as multilevel modeling, longitudinal data analysis, or mediation analysis, particularly within the human and health sciences.
Significant experience analyzing large-scale healthcare data, including electronic health records (EHR) and administrative claims, to drive clinical or operational outcomes.
Professional experience in consulting, advising students, and technical mentorship
Highly effective communications skills, including listening, writing, and speaking
Demonstration of collegiality among peers and constituents
Strong commitment to outstanding undergraduate teaching and mentoring
Demonstration of teaching experience and effectiveness through student evaluations, peer evaluations, or achievement of learning outcomes
Ability to explain complex and technical concepts in an understandable way
Strong commitment to professional development and upskilling in the rapidly evolving tech and information systems environment
Willingness to serve colleagues and students through departmental, college, and university assignments

Nice To Haves

Proven track record in developing, maintaining, or contributing to major open-source software packages (e.g., R, Python) used in data science and reproducible research.
Expertise in complex modeling techniques, such as multilevel modeling, longitudinal data analysis, or mediation analysis, particularly within the human and health sciences.
Significant experience analyzing large-scale healthcare data, including electronic health records (EHR) and administrative claims, to drive clinical or operational outcomes.

Responsibilities

Teach and mentor both undergraduate and graduate students through the Analytics Solutions Center.
Teach undergraduate and graduate courses using hands-on applications of data analytics, data science, machine learning, and AI.
Design and continually refine the curriculum to reflect evolving industry techniques, tools, and platforms.
Develop innovative, applied learning experiences that integrate real-world datasets, cloud environments, and deployable solutions.
Serve colleagues and students through departmental, college, and university assignments.