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University Overview

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

Posted Job Title

Data Scientist

Job Profile Title

Job Description Summary

The Data Scientist will lead and support advanced computational biology and biomedical informatics research, working in close partnership with principal investigators and collaborators. A primary focus will be integrating and analyzing large-scale clinical, genomics, proteomics, imaging, and informatics data, with the Penn Medicine Biobank (PMBB) as a central resource.

The Data Scientist will assess project feasibility, contribute to study design, and oversee analytic execution. They will develop and maintain computational pipelines, ensure methodological rigor and reproducibility, and mentor trainees and staff in computational approaches. Additional responsibilities include contributing to manuscripts, grant applications, and presentations at scientific meetings.

This is a leadership opportunity at the intersection of data science and biomedical research, enabling high-impact discoveries and building shared infrastructure that accelerates future studies

Job Description

The Data Scientist will lead and support advanced computational biology and biomedical informatics research, working in close partnership with principal investigators and collaborators. A primary focus will be integrating and analyzing large-scale clinical, genomics, proteomics, imaging, and informatics data, with the Penn Medicine Biobank (PMBB) as a central resource.

The Data Scientist will assess project feasibility, contribute to study design, and oversee analytic execution. They will develop and maintain computational pipelines, ensure methodological rigor and reproducibility, and mentor trainees and staff in computational approaches. Additional responsibilities include contributing to manuscripts, grant applications, and presentations at scientific meetings.

This is a leadership opportunity at the intersection of data science and biomedical research, enabling high-impact discoveries and building shared infrastructure that accelerates future studies

Job Responsibilities

• Lead the design, development, and execution of computational genomics, multi-omics integration, and biomedical informatics projects in collaboration with the principal investigators.
• Collaborate with PIs and PMBB Clinical Informatics and Genomics Core on projects that leverage imaging-derived phenotypes, including working with AI and deep learning methods to extract features from medical images and integrating these into downstream analyses.
• Develop and maintain computational pipelines for phenotype generation, data harmonization, and integration across clinical, imaging, and genomic datasets.
• Assess feasibility, efficiency, and study design for proposed projects, providing input on timelines and resource planning.
• Oversee data analysis workflows to ensure methodological rigor, reproducibility, and scalability.
• Apply statistical genetics and bioinformatics methods to conduct biobank-scale analyses.
• Contribute to manuscripts, grant applications, and conference presentations.
• Mentor and guide trainees, staff, and junior investigators in computational methods and study design.
• Provide computational expertise and support to collaborators, including phenotype generation and downstream analysis.
• Coordinate with other cores and research groups to build shared infrastructure and tools that expand the impact of PMBB and related resources.
• Act as a liaison between the PI's groups, institutional cores, and external partners to strengthen collaborative research

Position is contingent upon continued funding

Qualifications

Resume and cover letter required with application.

Targeted Pay Range : $100,000- $105,000

This Targeted Pay Range is only applicable to this job posting. All salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, as well as internal and market factors and grade profile.

Job Location - City, State

Philadelphia, Pennsylvania

Hybrid Eligible - This position is eligible for a hybrid work schedule with a work week divided between working onsite and working remotely.

Department / School

Perelman School of Medicine

Pay Range

100,000.00 - $105,000.00 Annual Rate

Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.

Equal 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.

Special Requirements

Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

To learn more, please visit : https : / / www.hr.upenn.edu / PennHR / benefits-pay