Aumenta le possibilità di ricevere una risposta da questo datore di lavoro
Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.
University of Pennsylvania's Perelman School of Medicine seeks a Research Associate in the Academic Support Staff to work on informatics and machine learning methods for biomedical data. The position is initially for one year with renewal possible based on performance and funding.
The role emphasizes methodological development and collaboration across Penn schools, under supervision of an Informatics PI, aiming to build toward independence in the next career stage.
Philadelphia, PA
Mar 18, 2026
Mar 18, 2028 at 11:59 PM Eastern Time
The Department of Biostatistics and Epidemiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Research Associate position in the Academic Support Staff. This appointment will be initially for one (1) year and continuation during that time period and renewal are based on satisfactory performance and availability of funding (limited to three (3) years). Applicants must have a Ph.D. or equivalent degree.
Responsibilities may include : (1) development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data; and (2) collaboration on cutting-edge biomedical data science research with researchers in Perelman School of Medicine and other Schools at Penn.
The successful applicant will have an opportunity to work under the supervision of an Informatics PI, with a focus on methodological developments and biomedical applications. The candidate is expected to establish a clear trajectory towards an independent researcher in preparation for the next stage of their career.
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.