Jobs and Careers

Senior Data Analyst

University of Pennsylvania Perelman School of Medicine

Med Sch Richards Building, United States, United Statesfull_timeVerifiedPosted 4 Aug 2026

💰 $105,000/yr($84,961/yr – $105,000/yr)

About the role

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

Senior Data Analyst

Job Profile Title

Data Analyst Senior

Job Description Summary

The Senior Data Analyst leads data engineering and data science projects within the lab, turning complex biomedical datasets into robust pipelines, rigorous analyses, and actionable scientific insight. Working closely with the Principal Investigator and research team, this position designs and builds data workflows, develops and applies statistical and machine-learning methods, and ensures the integrity, reproducibility, and quality of the lab's analytical work.

This role requires domain expertise in biomedical informatics, AI/machine learning, or a closely related field, with a focus on immune health and/or high-dimensional omics data (e.g., genomics, transcriptomics, proteomics, single-cell, or multi-omics).

This is a senior staff position that operates with significant independence and scientific judgment, and may provide technical mentorship to junior analysts and trainees.

This position is contingent upon continued funding.

Job Description

Job Responsibilities

Data engineering: design, build, and maintain reproducible data pipelines and workflows for ingesting, cleaning, integrating, and transforming large-scale omics and biomedical datasets.
Data science & analysis: develop and apply statistical, machine-learning, and AI methods to derive insight from immune-health and omics data; lead analyses from question formulation through interpretation.
Project leadership: lead assigned data engineering and data science projects end to end—scoping, planning, and delivering results—while coordinating with the PI and collaborators on priorities and timelines.
Communication & reporting: produce clear analyses, visualizations, and documentation; contribute to manuscripts, grant applications, and presentations; and communicate findings to technical and non-technical audiences.
Rigor, reproducibility & mentorship: uphold standards for code quality, version control, and reproducible research; maintain documentation; and provide technical guidance to junior analysts and trainees.
Other duties and responsibilities as assigned

Qualifications

Bachelor’s degree in Computer Science, Biomedical Informatics, Health Information Systems, or Technology Management and 4 to 6 years of experience or equivalent combination of education and experience is required. Master’s degree preferred.