Biostatistics Methodology Leader (Tenure/Clinician-Educator)

Biostatistics Associate or Full Professor, Tenure Track or Clinician-Educator Location: Philadelphia, PA. Open Date: Sep 24, 2024. Deadline: Sep 24, 2026 at 11:59 PM Eastern Time. The Department of Biostatistics, Epidemiology and Informatics (DBEI) at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several Associate or Full Professor positions in either the non-tenure clinician educator track or the tenure track. Expertise is required in the specific area of biostatistical methods development and applications. Applicants must have a Ph.D. or equivalent degree. Tenure track applicants will focus primarily on the development of innovative leading-edge statistical methodology, with secondary emphasis on collaborative research projects within the Perelman School of Medicine. With respect to methodology development, an established track record is required, along with the ability to establish oneself as a research leader in their area of specialization. It is required that the applicant has served as Principal Investigator of methodological research supported by extramural grant funding. Clinician-Educator track applicants who have outstanding productivity in collaborative research, as well as some methodological research, are especially encouraged to apply. There is a rich mix of ongoing biomedical research programs in the Perelman School of Medicine to provide motivation and opportunities for the development of novel statistical methods on wide-ranging domains of biomedical, clinical, and translational science. Teaching responsibilities may include participation in biostatistics PhD and MS training programs, as well as teaching biostatistics courses in epidemiology, health policy, and other biomedical programs. Candidates are expected to have a strong commitment to teaching and mentoring. Research or scholarship responsibilities may include statistical methods development and contributions as a statistical leader for collaborative research studies. Candidates with experience and/or an interest in cancer clinical trials, pediatric research, the interface between biostatistics and artificial intelligence, and causal inference are especially encouraged to apply. The University of Pennsylvania is a vibrant team-science-oriented environment with elite biomedical research collaborators that is ideal for biostatistical collaboration and application-driven methodological research. The Division of Biostatistics includes over 30 full-time faculty with diverse expertise spanning numerous methodological and biomedical areas, and we have strong, highly ranked, and growing MS and PhD programs in which we train the next generation of innovative quantitative leaders. The placement of Biostatistics in the Perelman School of Medicine with world-class medical, biological, and population scientists, as part of an integrated campus including the Wharton School of Business, School of Arts and Sciences, and the School of Engineering and Applied Science and other premier biomedical research institutions including the Children''s Hospital of Philadelphia provides the ideal setting for cross-disciplinary collaboration and impactful quantitative research. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. Please contact Cathy Vallejo for questions: View email address on click.appcast.io Qualifications Applicants must have a Ph.D. or equivalent degree. Equal Employment Opportunity Statement 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. #J-18808-Ljbffr Technical University of Denmark