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Faculty.Professor.Professor - Full-Time

University of Pittsburgh
Posted 5 months ago, valid for 23 days
Location

Pittsburgh, PA 15281, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Department of Biomedical Informatics at the University of Pittsburgh is seeking faculty with expertise in artificial intelligence and machine learning for tenure-track and tenured positions.
  • Candidates must possess a PhD or a professional health degree and have experience in research, particularly with federally funded projects.
  • For the Assistant Professor position, candidates are required to have a doctoral degree and teaching experience, while the Associate Professor position requires 5+ years of experience and substantial teaching and research experience.
  • The Professor position mandates 10+ years of experience, along with a strong reputation in the field and effective teaching skills.
  • Successful applicants will lead independent research programs and are encouraged to engage in commercialization and entrepreneurship.

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. 

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.

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.

For an Assistant Professor position the qualifications are as follows:  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

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 of experience. 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:  Cover Letter, Curriculum Vitae, Teaching Statement and Research Statement.

 

 




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