Assistant/Associate Professor of Public Health – Biostatistics/Health AI

University of North Texas System • Denton, TX

37d • Onsite

About The Position

The Department of Rehabilitation & Health Services in the College of Public Affairs and Health Sciences at the University of North Texas invites applications for a tenure-track Assistant or Associate Professor of Public Health with expertise in biostatistics and/or health artificial intelligence (AI). All areas of biostatistics will be considered. The department seeks an accomplished scholar who applies advanced statistical methods, AI, machine learning, or computational analytics to complex public health challenges. Candidates for Associate Professor should bring an established, externally funded research program.

The successful candidate will lead and expand a nationally recognized research program, teach undergraduate and graduate courses, mentor students, develop interdisciplinary collaborations, publish and present research, and contribute service. At the Associate Professor rank, the position also includes leadership in curriculum development, faculty mentoring, and strategic initiatives.

The Department of Rehabilitation & Health Services is a community-engaged academic unit conducting research and education in public health, applied gerontology, health services, rehabilitation counseling, substance use, and behavioral health. It is part of the College of Public Affairs and Health Sciences at the University of North Texas. The UNT System employs more than 14,000 employees and educates over 49,000 students across its institutions. The work schedule varies based on assignment. No adverse environmental conditions are expected. This is a security-sensitive position.

Requirements

• Ph.D. in Public Health, Biostatistics, Statistics, Data Science, Epidemiology, Computer Science, Health Informatics, or a closely related discipline. ABD candidates may be considered for Assistant Professor but must hold the degree at appointment; Associate Professor candidates must qualify for appointment with tenure.
• Established record of peer-reviewed publications demonstrating scholarly excellence.
• Evidence of a sustained externally funded research program for Associate Professor, or potential to develop one for Assistant Professor.
• Demonstrated excellence in teaching and mentoring students.
• Experience mentoring graduate students and early-career researchers for consideration at the Associate Professor rank.

Nice To Haves

• National or international recognition in biostatistics, health AI, or population health analytics.
• Ongoing and transferable externally funded research grants.
• Experience leading interdisciplinary research teams.
• Demonstrated success developing collaborations with healthcare systems, government agencies, or industry partners.
• Experience integrating AI and advanced analytics into public health education.
• Demonstrated leadership in academic programs, professional organizations, or large collaborative research initiatives.
• Research in areas such as AI and machine learning for public health, biostatistical methods, Bayesian statistics, predictive modeling, precision public health, population health analytics, causal inference, public health informatics, big data, EHR research, healthcare NLP, geospatial statistics, clinical trials, high-dimensional omics, health equity data science, explainable AI, data visualization, or decision support systems.
• Applicants using innovative computational approaches, high-performance computing, federated learning, or multidisciplinary research methods are especially encouraged.
• Experience with HSI/MSIs and/or fluency in Spanish, Vietnamese, American Sign Language, Chinese, Arabic, Tagalog, Farsi, French, or Yoruba.

Responsibilities

• Lead and expand a nationally recognized, externally funded research program in biostatistics, health AI, or related areas.
• Teach graduate and undergraduate courses in biostatistics, epidemiology, health data science, artificial intelligence, and related disciplines.
• Mentor master's and doctoral students and foster a collaborative, innovative research environment.
• Develop interdisciplinary collaborations applying statistics, AI, and/or advanced analytics to public health research and practice.
• Publish impactful research in leading peer-reviewed journals and present findings at national and international conferences.
• At the Associate Professor rank, provide leadership in curriculum development, faculty mentoring, and strategic initiatives.
• Contribute to departmental, college, university, and professional service.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree