Principal Data Analyst

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

Principal Data Analyst

Job Profile Title

Data Analyst Senior

Job Description Summary

This role integrates biostatistics, data science, and data engineering to support and advance the Department of Neurosurgery’s research and data infrastructure. The position serves as a core methodological collaborator in neurosurgical research while leading the development and stewardship of a centralized research database built upon Epic Clarity data. This role will play a key part in advancing the department’s research strategy through modern data science and robust research infrastructure.

Position is contingent upon funding.

Job Description

Job Responsibilities

Biostatistics and Data Science Collaboration

• •Collaborate with faculty investigators, residents, and fellows on research projects across the full study lifecycle, from study conception through dissemination.
• •Provide consultation on study design, cohort definition, feasibility assessments, and analytic strategy.
• •Serve as statistical lead and analytic strategist across research projects, including development of analysis plans, selection of appropriate methodology, and communication of findings through written reports and presentations.
• •Apply advanced statistical methods, machine learning, and data science techniques to address complex clinical and translational research questions.
• •Identify research opportunities aligned with departmental priorities and translate clinical questions into rigorous research designs.
• •Conduct and oversee data management and statistical analyses supporting departmental research initiatives.
• •Provide methodological leadership and substantive intellectual contribution to manuscript development.
• •Contribute to grant proposals and clinical trial design, including statistical sections, study design consultation, and power/sample size calculations.

Research Data Infrastructure and Engineering

• •Lead the design, evaluation, and evolution of the department’s centralized research data infrastructure supporting neurosurgical research, scalable analytics, and machine learning workflows.
• •Assess existing datasets and workflows to identify inconsistencies, redundancies, and opportunities for improved data organization and accessibility.
• •Architect and maintain data pipelines integrating Epic Clarity and other internal or external data sources.
• •Govern data integrity, platform lifecycle, and scientific data stewardship for departmental research data assets.
• •Develop curated analytic datasets and standardized variable definitions to support reproducible research.
• •Enable investigators to access well-structured data resources for research and analytic projects.
• •Collaborate with institutional data partners (e.g. Penn DnA) to align departmental data infrastructure with enterprise data strategy.

Qualifications

Bachelor's degree and 4 to 6 years of experience or equivalent combination of education and experience is required.

Job Location - City, State

Philadelphia, Pennsylvania

Department / School

Perelman School of Medicine

Pay Range

$83,500.00 - $104,792.00 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

Health, Life, and Flexible Spending Accounts : Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family’s health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.

Tuition : Take advantage of Penn's exceptional tuition benefits . You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.

Retirement: Penn offers generous retirement plans to help you save for your future. Penn’s Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.

Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family—whatever your personal needs may be.

Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you’re newly hired, you won’t have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.

Wellness and Work-life Resources : Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That’s why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.

Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally.

University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University’s libraries and athletic facilities, or visit our arboretum and art galleries. There’s always something going on at Penn, whether it’s a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at