Faculty .Professor - Full-Time

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 at the rank of Associate Professor or Professor. 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.

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 (e.g., 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.

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.

Minimum Qualifications: Candidates must have a professional health degree (e.g., MD, RN, PharmD) with informatics training or a Ph.D. in their field, which may include (but is not limited to) biomedical informatics, health informatics, bioinformatics, computer science, statistics, or information sciences.

For an Associate Professor position the qualifications are as follows: 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.

For a Professor position the qualifications are as follows: 10+ years 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.

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

The following 4 documents are required for your application: Cover Letter, Curriculum Vitae, Teaching Statement and Research Statement.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.