Professional Practice Associate Professor

Overview 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 to support and strengthen our programs in data analytics, data science, bioinformatics, and health analytics, and to provide critical student mentoring within the Huntsman School’s Analytics Solutions Center. This academic-year (nine-month) faculty position will support the development and maintenance of programs of excellence in teaching, with an anticipated start date of August 1, 2026. Salary is competitive. An excellent benefits package includes retirement programs, life, medical, dental, and disability insurance. Responsibilities The successful applicant will have the appropriate professional background and academic experience to teach and mentor both undergraduate and graduate students through the Analytics Solutions Center, a center within the Huntsman School of Business that offers rigorous experiential learning opportunities connecting interdisciplinary student teams with real-world problems from partner companies and organizations. The candidate will also teach undergraduate and graduate courses using hands-on applications of data analytics, data science, machine learning, and AI. The candidate will design and continually refine the curriculum to reflect evolving industry techniques, tools, and platforms. They will also develop innovative, applied learning experiences that integrate real-world datasets, cloud environments, and deployable solutions. Qualified candidates will bring industry experience, a passion for teaching, and a proven track record of excellence in mentoring. They will also demonstrate a commitment to continual learning and staying current with emerging technologies. Qualifications Minimum Qualifications: 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 Preferred Qualifications: 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. Required Documents: Along with the online application, please attach: Resume to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV” Cover letter to be typed/pasted at the end of your application Document size may not exceed 10 MB. Advertised Salary: Commensurate with experience with excellent benefits ADA: Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions. College/Department Highlights The Data Analytics and Information Systems (DAIS) Department prepares students for careers at the intersection of business, technology, and data. The department is collaborative, entrepreneuri