Jobs · Education · Texas

Lecturer of Health Informatics and Health Librarianship

University of North Texas · Denton, TX · 1 wk ago
On-siteEducationFull-time

The Department of Information Science at the University of North Texas (UNT) invites applications for a lecturer position in Health Informatics and Health Librarianship. We are seeking excellent candidates with a background in current or emerging areas of health informatics and health librarianship, especially with a focus on artificial intelligence.

About the role

The successful candidate is expected to teach undergraduate as well as graduate courses and provide service in an academic position. The candidate must be able to design and deliver courses in a variety of formats, including online and hybrid modalities. Demonstrated teaching experience and service to the profession are required. This is a nine-month, full-time, professional faculty position.

Responsibilities

  • Teach undergraduate and graduate courses in Health Informatics and Health Librarianship
  • Design and deliver courses in various formats, including online and hybrid modalities
  • Provide service to the department and profession

Requirements

  • Doctorate in Health Informatics, Information Science, or related field
  • Previous experience in health-related settings preferred

Qualifications

The Department of Information Science at UNT is committed to preparing information professionals of the highest quality. Candidates should demonstrate a commitment to excellence, curiosity, and innovation, and be able to contribute to the department's dynamic faculty and programs.

Skills

Effective communication skills, ability to design and deliver courses in various formats, and experience in health-related settings are essential.

Benefits

Compensation is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.

Pay

This is a nine-month, full-time, professional faculty position.

Schedule

Varies based on assignment.

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