Principal Data Analyst

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 83,500 - 104,792; Full time

Benefits offered by this job

Health, Life, and Flexible Spending Accounts

Tuition Assistance

Generous Retirement Plans

Substantial Time Away from Work

Long-Term Care Insurance

Work-life Resources

Professional Development Resources

University Cultural and Recreational Activities

Discounts and Special Services

Flexible Work Hours

Home Ownership Services

Adoption Assistance

Job summary

The University of Pennsylvania is hiring a Principal Data Analyst in Philadelphia. This pivotal role integrates biostatistics, data science, and data engineering to elevate the Department of Neurosurgery's research capabilities. The analyst will oversee a centralized research database, collaborate with researchers, and lead advanced analytical strategies. Ideal candidates should have a Bachelor's degree and strong experience in data and research methodologies. An attractive benefits package is offered, including health accounts and tuition assistance.

Qualifications

• 4 to 6 years of experience in data analysis or equivalent.
• Strong methodological leadership in research.
• Expertise in collaborating across multiple research projects.

Responsibilities

• Collaborate on research projects from conception to dissemination.
• Provide consultation on study design and analytic strategy.
• Lead the development of centralized research data infrastructure.

Skills

Biostatistics

Data Science

Data Engineering

Statistical Analysis

Machine Learning

Research Collaboration

Education

Bachelor's degree

Job description

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.

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

Philadelphia, Pennsylvania

Department / School

Perelman School of Medicine

Pay Range

$83,500.00 - $104,792.00 Annual Rate

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, 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.
• Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff.
• Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non‑traditional work hours, locations, and/or job structures.
• Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
• Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.