
Research Assistant Professor of Informatics
Philadelphia, PAResearchSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The University of Pennsylvania seeks an Assistant Professor on the non‑tenure research track in biomedical informatics, requiring a Ph.D. or equivalent and encouraging postdoctoral training. The role involves developing, evaluating, and applying informatics methods, collaborating on research studies, securing extramural funding, and publishing peer‑reviewed work.
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Full job description
The Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure research track. Expertise is required in the specific area of biomedical informatics methods development and applications. Candidates with postdoctoral training are encouraged to apply. Applicants must have a Ph.D. or equivalent degree.
Research or scholarship responsibilities may include conducting research with a standing faculty member involving collaborative research studies, and the development, evaluation, or application of biomedical informatics methods. Candidates with experience in NLP, AI and Machine Learning, bioinformatics, translational bioinformatics, clinical informatics, clinical research informatics, consumer health informatics, and/or public health informatics are encouraged to apply.
Research track faculty typically work on extramurally-funded research within a research group led by a standing faculty member. The successful candidate will be expected to attract and maintain extramural funding. They should have experience conducting research and publishing peer reviewed manuscripts.
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.
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