Research Associate - Informatics

University of Pennsylvania Perelman School of Medicine; Philadelphia (Philadelphia County); On-site; USD 75,000 - 110,000; Full time

Job summary

The Department of Biostatistics and Epidemiology at the Perelman School of Medicine, University of Pennsylvania, seeks a Research Associate for academic support staff. The appointment is initially for one year with potential renewal based on performance and funding.

Applicants must have a Ph.D. or equivalent degree and will develop informatics and machine learning methods for analyzing genomics, imaging, biomarkers, and other biomedical data; collaborate with Penn researchers and work under an

Qualifications

• Ph.D. or equivalent degree required.
• Development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data.
• Collaboration on biomedical data science research across Penn teams.

Responsibilities

• development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data;
• collaboration on cutting-edge biomedical data science research with researchers in Perelman School of Medicine and other Schools at Penn.
• The candidate is expected to establish a trajectory toward becoming an independent researcher under supervision of an Informatics PI.

Skills

Informatics

Machine learning

Biomedical data science

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.

• development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data;
• 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.