Research Associate - Informatics

University of Pennsylvania Perelman School of Medicine; Philadelphia (Philadelphia County); On-site; USD 80,000 - 100,000; Full time

Job summary

University of Pennsylvania Perelman School of Medicine is seeking a Research Associate in the Academic Support Staff within the Department of Biostatistics, Epidemiology and Informatics. The appointment is for an initial one-year term with renewal possibilities based on performance and funding.

The successful candidate will develop and apply informatics and machine learning methods to analyze genomics, imaging, biomarkers, and other biomedical data, collaborating across Penn and partner

Qualifications

• PhD or equivalent degree required.
• Experience with biomedical data (genomics, imaging, biomarkers) is preferred.

Responsibilities

• Development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical data.
• Collaboration on biomedical data science research with researchers at Penn and across schools.
• Establish a trajectory toward becoming an independent researcher.

Skills

Informatics

Machine learning

Education

PhD or equivalent degree

Job description

University of Pennsylvania: Perelman School of Medicine: Perelman School of Medicine - Department of Biostatistics, Epidemiology and Informatics

Location

Philadelphia, PA

Open Date

Mar 18, 2026

Deadline

Mar 18, 2028 at 11:59 PM Eastern Time

Description

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.