Assistant, Associate or Full Professor, Biomedical Informatics (TT) (MD, PhD , MD/PhD) (Phoenix)

Assistant, Associate or Full Professor, Biomedical Informatics (TT) (MD, PhD , MD/PhD) (Phoenix)

Posting Number: req26296

Department: COM Phx Biomedical Informatics

Direct Link to Apply:

Department Website Link: College of Medicine-Phoenix

Location: Greater Phoenix Area

Address: 475 N. 5th St., Phoenix, AZ 85004 USA

Position Highlights

The University of Arizona College of Medicine – Phoenix invites applications for three tenure-track faculty positions in the Department of Biomedical Informatics, broadly defined. Areas of emphasis include, but are not limited to, computational medicine, artificial intelligence (AI) and machine learning (ML) in healthcare and medicine, clinical informatics, digital health innovation, biomedical data science and data-driven implementation science, particularly as applied to complex diseases such as diabetes, cancer, and other chronic health conditions.

These positions are part of a coordinated cluster hire to expand the Department of Biomedical Informatics at the U of A College of Medicine – Phoenix. We welcome outstanding applicants at all career stages who demonstrate excellence in team science research, education and relevant interdisciplinary collaboration. Appointment rank will be commensurate with experience and expertise. These hires are supported by the long-term strategic vision of the College and are aligned with the University’s priority to strengthen data science-driven innovations in healthcare, discovery science and precision medicine across the state.

The Department of Biomedical Informatics aims to provide leadership in the development, evaluation and application of computational and data-driven approaches to improve healthcare quality, safety, efficiency and outcomes, including applications addressing major public health and biomedical challenges such as diabetes, cancer, and other chronic health conditions. The Department integrates expertise across clinical informatics, AI/ML, human-centered design and global data science to address emerging challenges and accelerate discovery in biomedical science and healthcare.

Visa sponsorship is not available for this position.

The University of Arizona College of Medicine – Phoenix anchors the 28-acre Phoenix Biosciences Core (PBC) campus in the heart of the Valley of the Sun. The College inspires and trains individuals to become exemplary physicians, scientists and leaders who are life-long learners and inquisitive scholars. The PBC campus embodies the University’s priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities throughout Greater Phoenix.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here .

Duties & Responsibilities

• Have demonstrated ability to design, develop and apply state-of-the-art Data Science, ML and/or AI methodologies to biomedical text data, imaging data, omics data and other relevant healthcare data.
• Experience collaborating with biomedical research programs, clinical partners or health care systems.
• Evidence of strong interdisciplinary communication skills and ability to work in multi-stakeholder environments.
• Develop and sustain an independent, externally funded research program, with a strong publication record and clear trajectory toward national impact.
• Have demonstrated experience with real-world clinical data modalities (e.g., EHR, imaging, wearables/remote monitoring, clinical text) and rigorous evaluation/validation practices supporting translation to clinical workflows, population health, and disease-specific applications.
• Experience designing multimodal and longitudinal models (e.g., sequential prediction, multimodal fusion, graph-based learning) for diagnostic/prognostic applications.
• Teaching service expectations:
• Teach graduate program or undergraduate courses in biomedical informatics / data science / AI and participate in curriculum development.
• Participate in departmental, college and professional services (committees, peer review, editorial/reviewer activities).
• Candidates pursuing senior appointments should additionally demonstrate:
• Have a record of successful independent program development and leadership.
• National distinction in research, teaching or patient care, within an academic environment.
• Evidence of mentorship of junior faculty and trainees; or has served as a joint mentor on interdisciplinary teams.

Minimum Qualifications

• Hold a PhD in computer science, biomedical engineering, bioinformatics, biotechnology, health/medical informatics or a related biomedical field; or hold an MD or equivalent with training in biomedical informatics (e.g., MS in Biomedical Informatics, Clinical Informatics Board Certification). Degrees should be from an accredited institution.
• Possess a track record of successful extramural funding (e.g., NIH, NSF, DoD), or clear potential for such funding for early-career applicants.
• If an MD, be eligible for unrestricted medical licensure in Arizona and for medical staff appointment at Banner – University Medical Center Phoenix.

Preferred Qualifications

• Show evidence of national distinction through participation in NIH, NSF or VA study sections, review panels or leadership roles in relevant organizations, societies, or other national service (e.g., ACM, ISMB, IEEE, AMIA).
• Demonstrate evidence of clinical translation or deployment-oriented work, such as prospective evaluation, workflow integration or development of clinical decision support applications.
• Have experience leading or contributing to training programs (e.g., NIH training grants, structured mentorship programs) and developing interdisciplinary training curricula.
• Have experience contributing to emerging data governance, ethics or AI regulatory frameworks.
• Demonstrate effort in translating research into real-world clinical or public health impact.
• Experience applying biomedical informatics, AI/ML, or data science approaches to critical clinical or public health domains such as diabetes, cancer, or population health.

Rank

To be Determined

Tenure Information

Tenure Track (T/TE)

FLSA

Exempt

Full Time/Part Time

Full Time

Number of Hours Worked per Week

40

Job FTE

1.0

Work Calendar

Fiscal

Job Category

Faculty

Benefits Eligible

Yes - Full Benefits

Rate of Pay

AAMC Public Schools for Rank and Specialty

Compensation Type

salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required:

Name-based criminal background check (non-security sensitive)

Number of Vacancies

5

Contact Information for Candidates

Office of Talent Acquisition

View email address on us.fitly.work

Open Date

6/17/2026

Open Until Filled

Yes

Documents Needed to Apply

Curriculum Vitae (CV), Cover Letter, and Two Additional Documents

Special Instructions to Applicant

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

CV, cover letter and two additional documents are required to be considered for the position. One document includes at least three professional references at your current rank or above, their contact information and the nature of your work with them.

In addition, the second document is a statement of research interest, which should clearly indicate their interest in this role and what skills or professional employment experience they have to support their application.

Faculty selected for this teaching and research opportunity will be required to obtain faculty status within the Department of Biomedical Informatics. This will include obtaining letters of recommendation and review by the appropriate College review committee.

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In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.

Paper copies of the Reports can be obtained by contacting the University Compliance Office at View email address on us.fitly.work .