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

University of Arizona

Phoenix (AZ)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Full Benefits

Professional Development Opportunities

Collaborative Research Environment

Job summary

The University of Arizona invites applications for tenure-track faculty positions in Biomedical Informatics, focusing on AI and data science applications in healthcare. The position emphasizes a collaborative approach in research and teaching within a vibrant department.

Applicants should possess a PhD or MD with a strong foundation in informatics and demonstrate ability to secure funding for research. The role includes teaching responsibilities at both undergraduate and graduate levels and offers full benefits.

Qualifications

Must hold a PhD or MD with training in biomedical informatics.
Track record of successful extramural funding.
Eligible for unrestricted medical licensure in Arizona if an MD.

Responsibilities

Design and apply AI methodologies to healthcare data.
Develop and sustain an independent research program.
Teach graduate courses in biomedical informatics.

Skills

Data Science

Machine Learning

Biomedical Informatics

Interdisciplinary Communication

Teaching

Education

PhD in computer science, biomedical engineering or related field

Job description

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: https://arizona.csod.com/ux/ats/careersite/4/home/requisition/26296?c=arizona

Department Website: College of Medicine-Phoenix

Location: Greater Phoenix Area

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

Visa sponsorship is not available for this position.

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 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. 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 align 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 provides leadership in developing, evaluating and applying 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.

Benefits Eligible: Yes - Full Benefits

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.

Job Details

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)