Research Associate - Informatics

University of Pennsylvania Perelman School of Medicine; Philadelphia (Philadelphia County); On-site; USD 70,000 - 90,000; Full time

Job summary

The Department of Biostatistics and Epidemiology at the Perelman School of Medicine, University of Pennsylvania, seeks a Research Associate on Academic Support Staff. The appointment initially spans one year with renewal contingent on performance and funding. Ph.D.

or equivalent required. Responsibilities include developing and applying informatics and machine learning methods for genomics, imaging, biomarkers, and other biomedical data, and collaborating with Penn researchers to advance

Qualifications

• PhD or equivalent required.
• Responsibilities include developing informatics and ML methods for biomedical data.

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 at Penn and other schools.

Skills

Informatics

Machine learning

Genomics

Biomedical data science

Collaborative research

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;
• (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.