Data Analyst (Department of Radiology)

Data Analyst (Department of Radiology)

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 Analyst (Department of Radiology)

Job Profile Title
Data Analyst C

Job Description Summary
The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education. http://www.med.upenn.edu/

Job Description

The Perelman School of Medicine at the University of Pennsylvania invites applications for a Data Analyst position focused on multimodal biomedical data processing, integration, quality assurance, and analysis within large-scale translational research studies. The position involves working with complex datasets spanning neuroimaging, electrophysiology, autonomics, behavioral assessments, biospecimens, clinical measures, and other high-dimensional biomedical data streams.

The successful candidate will contribute to the development and implementation of data workflows, harmonization strategies, quality control procedures, visualization tools, and analytical pipelines that support multimodal phenotyping and precision health research. This role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent upon funding.

This is an on-site position based at the University of Pennsylvania.

Applicants must be legally authorized to work in the United States.

Lab / Program Description The research environment is centered around the development of quantitative and computational approaches for multimodal biomedical data analysis in clinically relevant populations. Ongoing efforts involve integration of imaging, physiology, electrophysiology, behavioral, and biospecimen-derived data to better understand variability in human health, disease, injury, and recovery.

Research activities include development of scalable data processing pipelines, automated quality assurance frameworks, multimodal data harmonization approaches, statistical and machine learning methodologies, and translational tools that facilitate clinically meaningful interpretation of complex biomedical datasets.

Key Responsibilities

• Perform processing, organization, harmonization, and quality control of multimodal biomedical datasets, including imaging, electrophysiology, physiological, behavioral, clinical, and biospecimen-related data.
• Develop and maintain computational workflows and analytical pipelines using programming languages such as Python, and R.
• Conduct statistical analyses and data visualization to extract meaningful insights from high-dimensional and longitudinal datasets.
• Assist with multimodal data integration, database management, and data standardization across research studies.
• Collaborate with interdisciplinary teams including clinicians, engineers, data scientists, and research coordinators.
• Contribute to preparation of figures, reports, presentations, and manuscripts for scientific dissemination.
• Support development of reproducible and scalable research infrastructure for translational biomedical studies.

Qualifications

• Bachelor's degree in Biomedical Engineering, Computer Science, Data Science, Statistics, Neuroscience, Mathematics, Bioinformatics, or related quantitative fields, and 2-3 years of experience or an equivalent combination of education and experience required.
• Strong programming experience in Python, R, or related computational environments.
• Experience working with complex biomedical or scientific datasets.
• Familiarity with statistical analysis methods and data visualization techniques.
• Excellent organizational skills and attention to detail.
• Strong written and verbal communication skills.

Preferred Qualifications:

• Experience with multimodal biomedical data, including imaging, electrophysiology, physiological, wearable, behavioral, or clinical datasets.
• Familiarity with machine learning, AI, signal processing, or quantitative modeling approaches.
• Exposure to database systems, cloud/HPC computing environments, or large-scale data workflows.
• Experience with scientific software tools and reproducible computational pipelines.
• Interest in translational biomedical research and precision health applications.

Working Conditions
Office, Library, Computer Room

Physical Effort
Typically sitting at desk or table

Job Location - City, State
Philadelphia, PennsylvaniaData Analyst C

Department / School
Perelman School of Medicine

Pay Range
$62,067.00 - $80,000.00 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

• 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 Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.
• Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
• 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.

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


Equal Employment 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.


To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Med-Sch-Richards-Building/Data-Analyst--Department-of-Radiology-_JR00121465-1









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