Faculty.Professor.Professor

University of Pittsburgh • Pittsburgh, PA

14d • Onsite

About The Position

The Department of Biomedical Informatics (DBMI) at the University of Pittsburgh School of Medicine is recruiting faculty for appointment-stream, tenure-track, and tenured positions. The department builds on more than 40 years of work applying artificial intelligence and machine learning (AI/ML) to biomedical informatics, spanning clinical and health informatics, clinical research informatics, population health informatics, translational bioinformatics, and imaging informatics, among other areas.

The department seeks creative, productive, and collaborative scholars who will apply informatics and AI/ML methods to fundamental biomedical questions and engage in team science. Particular areas of interest include multimodal data analysis, clinical imaging, target trial emulation, complex molecular data analysis, clinical decision support, implementation science, and research evidence support tools. The ideal candidate is an accomplished scholar at the intersection of AI/ML and biomedical informatics, with one or more active federally funded research projects.

Candidates must hold a PhD in a relevant field or a professional health degree with informatics training. Clinicians are welcome, particularly those with an AI/ML research track record and an interest in clinical informatics, precision medicine, or public health informatics. Qualifications vary by academic rank: Assistant Professor candidates must have fewer than five years of relevant experience; Associate Professor candidates must have five or more years; and Professor candidates must have ten or more years, with qualifications in teaching, research, scholarship, professional leadership, and funding appropriate to rank.

This is an in-person position. Candidates must be located in or willing to relocate to Pittsburgh, Pennsylvania. Applications submitted by November 1, 2027, will receive full consideration. Applicants must apply through the University of Pittsburgh Talent Center and submit a combined PDF containing a cover letter, curriculum vitae, research statement, and teaching and mentoring statement.

Requirements

• PhD in a field such as biomedical informatics, health informatics, bioinformatics, computer science, statistics, or information science; alternatively, a professional health degree such as MD, RN, or PharmD with informatics training.
• Assistant Professor candidates must have fewer than five years of relevant experience and demonstrate teaching ability, advanced study and research experience or relevant professional expertise, scholarly promise, and ability to guide and mentor students.
• Associate Professor candidates must have five or more years of experience, substantial teaching and research experience, eminence in a scholarly or professional field, and a track record of securing external funding.
• Professor candidates must have ten or more years of experience, authoritative knowledge and a strong reputation in a recognized field, effective teaching skills, superior stature through research, scholarship, or professional leadership, and sustained funding.
• Candidates must be located in or willing to relocate to Pittsburgh, Pennsylvania.
• Application requires a cover letter (maximum one page), curriculum vitae, research statement (maximum three pages, excluding bibliography), and teaching and mentoring statement (maximum one page), submitted together in one PDF.

Nice To Haves

• Expertise in multimodal data analysis, clinical imaging, target trial emulation, analysis of complex molecular data, clinical decision support, implementation science, or research evidence support tools.
• One or more active federally funded research projects.
• For clinicians, an AI/ML research track record and interest in clinical informatics, precision medicine, or public health informatics.

Responsibilities

• Apply informatics and AI/ML methods to fundamental biomedical questions.
• Engage in team science and collaborate with colleagues.
• Conduct research and pursue external funding appropriate to academic rank.
• Teach, mentor, and support students.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree