Assistant Professor/Associate Professor/Professor

University of Pittsburgh - School of Medicine - Department of Biomedical Informatics; Pittsburgh (Allegheny County); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

The University of Pittsburgh's Department of Biomedical Informatics invites applications for an open-rank faculty position in AI/ML for biomedical informatics. We seek creative, collaborative scholars to advance AI/ML methods across clinical and translational research.

Candidates must hold a PhD in biomedical informatics or a professional health degree with informatics training, and have potential for external funding.

Formación

• PhD in biomedical informatics or an equivalent professional degree with informatics training.
• Demonstrated or potential for external research funding and collaboration.
• Experience applying AI/ML in biomedical and health research settings.

Responsabilidades

• Conduct innovative AI/ML research at the intersection of informatics and biomedicine.
• Collaborate across clinical, translational, and research teams.
• Contribute to teaching, mentoring, and service within DBMI.

Conocimientos

AI/ML in biomed informatics

Multimodal data analysis

Clinical imaging

Educación

PhD in Biomedical Informatics

MD/DO with informatics training

Herramientas

Python

R

SQL

Descripción del empleo

Open-Rank Faculty Position in Artificial Intelligence and Machine Learning for Biomedical Informatics

The Department of Biomedical Informatics (DBMI) (https://www.dbmi.pitt.edu) at the University of Pittsburgh School of Medicine is recruiting faculty in biomedical informatics for appointment stream, tenure-track and tenured positions. The University of Pittsburgh has more than 40 years of history in applying artificial intelligence and machine learning (AI/ML) to biomedical informatics, from some of the earliest work in medical decision support and expert systems to current efforts to develop and apply AI/ML across clinical and health informatics, clinical research informatics, population health informatics, translational bioinformatics, and imaging informatics. This work spans anesthesiology, critical care, neurology, pediatrics, oncology, infectious diseases, and other domains.

We seek creative, productive, and collaborative colleagues who will build on this legacy by applying informatics and AI/ML methods to fundamental biomedical questions and by engaging in team science. We are particularly interested in expertise in multimodal data analysis, clinical imaging, target trial emulation, analysis of complex molecular data, clinical decision support, implementation science, and research evidence support tools.

The ideal candidate will be an accomplished scholar working at the intersection of AI/ML and biomedical informatics, with one or more active federally funded research projects. Candidates must hold either a PhD (in fields including, but not limited to, biomedical informatics, health informatics, bioinformatics, computer science, statistics, or information science) 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 an interest in clinical informatics, precision medicine, or public health informatics.

For an Assistant Professor position candidates must hold a doctoral or appropriate professional degree and have fewer than five years of relevant experience. They should demonstrate effective teaching ability, experience in advanced study and research, or professional expertise that enables them to make meaningful academic contributions. Candidates should also show promise of originality and excellence in their field of scholarship, as well as the ability to guide, mentor, and support students.

For an Associate Professor position, qualifications are as follows: to the degree requirements above, candidates should have five or more years of experience, substantial experience in teaching and research, eminence in a scholarly or professional field, and a track record of securing external funding.

For a Professor position, qualifications are as follows: In addition to the degree requirements above, candidates should have ten or more years of experience, authoritative knowledge and a strong reputation in a recognized field of learning, and effective teaching skills. They should have attained superior stature in their field through research, scholarship, professional leadership, and sustained funding.

The University of Pittsburgh is an Equal Opportunity Employer.