Temple University-posted 2 months ago
Full-time • Entry Level
Boulder, CO

The Temple University Barnett College of Public Health Department of Health Services Administration and Policy invites applications for a tenure-track faculty position in Health Informatics, with the successful candidate joining our faculty beginning Fall 2026. We seek an outstanding teacher and mentor who will contribute to our mission of academic excellence, innovative education, and inclusive student support. The successful candidate will be expected to establish and sustain a funded research program with a strong record of publications and scholarly engagement in health informatics. Areas of emphasis include, but are not limited to, applications of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and large language models (LLMs) in health data analytics. The position requires a demonstrated commitment to foster interdisciplinary collaboration with colleagues in public health, medicine, computer science, engineering, pharmacy, and related fields. In addition to research, the faculty member will teach courses such as health informatics fundamentals, AI/ML for health professionals, NLP and LLMs in healthcare, health data governance and security, and health data analytics. Responsibilities also include mentoring master’s and doctoral students, supervising dissertations, and contributing to program development, curriculum development and innovation, and departmental, College, and university service.

  • Establish and sustain a funded research program in health informatics.
  • Contribute to academic excellence and innovative education.
  • Teach courses in health informatics and related fields.
  • Mentor master’s and doctoral students.
  • Supervise dissertations.
  • Contribute to program and curriculum development.
  • Engage in departmental, College, and university service.
  • Doctorate (PhD, MD, or equivalent) in Informatics, Computer Science, Data Science, Engineering, or related STEM discipline awarded prior to the anticipated start date.
  • Clear research agenda with high potential for extramural funding.
  • Excellence in teaching.
  • Commitment to creating inclusive, accessible spaces for all students.
  • Established research and peer-review publication record in health informatics.
  • Experience with AI, ML, NLP/LLMs in health informatics research.
  • Demonstrated success in working with doctoral students.
  • Evidence of interdisciplinary education, research, and practice.
  • Experience teaching and mentoring students from diverse backgrounds.
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