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Assistant Professor - Informatics, Digital Technologies, and Artificial Intelligence

Job in Seattle, King County, Washington, 98127, USA
Listing for: University of Washington
Full Time position
Listed on 2026-07-07
Job specializations:
  • Education / Teaching
    University Professor
Salary/Wage Range or Industry Benchmark: 10815 - 12240 USD Monthly USD 10815.00 12240.00 MONTH
Job Description & How to Apply Below

Description

The Department of Biobehavioral Nursing and Health Informatics in the School of Nursing at the University of Washington invites applications for a tenure‑track faculty position at the rank of Assistant Professor, with an anticipated start date of September 16, 2027. We seek applicants who demonstrate commitment to excellence in research, teaching, and service in a diverse and inclusive academic community. The successful candidate will join our faculty on a full‑time basis for a nine‑month academic appointment, renewable after a 3‑year term, beginning September 16, 2027.

The base salary range for this position will be $10,815–12,240 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.

Responsibilities
  • Establish and maintain an active research program, supported by external funding, in the area of artificial intelligence (AI), health and big data informatics, digital health innovations, digitally enabled interventions, community and population health informatics, or translational digital health sciences
  • Teach across degree programs to a student population representing a diversity of backgrounds and learning styles
  • Approach teaching and research through a clinical lens.
  • Collaborate effectively across a range of disciplines, cultures, funding sources, and learning environments
Minimum Qualifications
  • PhD (or foreign equivalent) in Nursing Science, Informatics, or a related field
Application Instructions

To ensure full consideration of your application, please submit all materials no later than October 1, 2026
. Priority consideration will be given to applications received by September 15, 2026. Applications will only be accepted via Interfolio:  The position will remain open until filled.

Applications should include the following materials:

  • A cover letter of no more than 3 pages detailing your interest in the position and qualifications and experiences that position you well to meet the expectations of the position
  • A curriculum vitae
  • A research statement that speaks to past and planned effort in the areas of artificial intelligence (AI), health and big data informatics, digital health innovations, digitally enabled interventions, community and population health informatics or translational digital health sciences as evidenced by high‑quality publications, funded work and/or submitted research proposals, and a clear research program vision for the next 5 years
  • A teaching statement that speaks to your pedagogical approach

Across the application materials listed above, applicants should articulate how their past experiences and/or future plans in research, teaching, mentoring, and/or service promote a sense of belonging and foster a welcoming and inclusive environment.

Please also include contact information for at least three references who are prepared to provide letters of recommendation upon request.
No formal letters are requested at time of initial application.

Equal Employment Opportunity Statement

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.

Benefits

Information

The University is committed to providing excellent benefits to our faculty. For a summary of available benefits, please see UWHR benefits information.

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