Faculty.Professor.Professor - Full-Time

University of Pittsburgh; Pittsburgh (Allegheny County); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading university in medical informatics is seeking faculty specializing in artificial intelligence and machine learning. The role involves leading research, teaching, and mentoring within the Biomedical Informatics Training Program. Ideal candidates have a doctoral or professional health degree and relevant experience. Responsibilities include research program leadership and potential clinical practice. Required application documents include a cover letter, CV, and teaching statement.

Qualifications

• PhD or professional health degree with informatics training.
• Demonstrated ability in guiding and counseling students.
• Experience in teaching or substantial experience in research.

Responsibilities

• Lead an independently funded research program.
• Participate in instruction and mentoring.
• Explore commercialization and entrepreneurship opportunities.

Skills

Expertise in artificial intelligence and machine learning

Teaching ability

Research skills

Education

PhD in biomedical informatics or related field

Professional health degree (MD, RN, PharmD)

Job description

Overview

The Department of Biomedical Informatics (DBMI) (https://www.dbmi.pitt.edu) is seeking to recruit faculty in biomedical informatics with expertise in artificial intelligence and machine learning (AI/ML) for tenure‑track and tenured positions in the School of Medicine at the University of Pittsburgh.

DBMI has eighteen primary faculty members with a focus on developing and applying AI/ML methods in clinical informatics, translational bioinformatics, clinical research informatics, and public health informatics. The University of Pittsburgh and its regional collaborator, Carnegie‑Mellon University, have dozens of additional faculty scholars pursuing research in AI/ML and healthcare.

Ideal Candidate

The ideal candidate will be a nationally recognized scholar who is working at the intersection of AI/ML and biomedical informatics with one or more existing federally funded research projects. Candidates must either have a PhD, which may include (but is not limited to) biomedical informatics, health informatics, bioinformatics, computer science, statistics, or information sciences, or a professional health degree (MD, RN, PharmD) with informatics training. We welcome clinicians, including internists, pediatricians, surgeons, psychiatrists, nurses, and pharmacists, particularly those with an AI/ML research track record and interest in clinical informatics, precision medicine, or public health informatics.

Responsibilities

Successful faculty recruits will be expected to lead an independently funded research program, leverage DBMI’s exceptional infrastructure, and participate in instruction and mentoring in our NLM‑funded Biomedical Informatics Training Program. Clinically trained faculty can pursue clinical practice and participate in the Clinical Informatics Subspecialty Fellowship Program. Faculty also have ample opportunity to explore commercialization and entrepreneurship toward the goal of commercializing innovative research.

Assistant Professor Qualifications

• Must possess a doctoral degree or appropriate professional degree.
• Should have demonstrated teaching ability, experience in advanced study and research, or professional experience of a kind which would enable them to make an academic contribution.
• They should exhibit promise of originality and excellence in some field of scholarship, and should have demonstrated ability in guiding and counseling students.

Associate Professor Qualifications

• 5+ years of experience and, in addition to the degree requirements described above, an Associate Professor should have substantial experience in teaching and research and should have attained eminence in a scholarly or professional field.

Professor Qualifications

• 10+ years of experience and, in addition to the degree requirements described above, a Professor should have authoritative knowledge and reputation in a recognized field of learning and the achievement of effective teaching skills.
• They should have attained superior stature in their field through research, scholarship, and professional leadership.

Application Documents

The following documents are required for an application: Cover Letter, Curriculum Vitae, Teaching Statement, and Research Statement.

Additional Information

Assignment Category: Full‑time regular
Campus: Pittsburgh
Required Attachments: Cover Letter, Curriculum Vitae, Teaching Statement
Optional Attachments: Research Statement