Data Analyst (Department of Radiology)

University OverviewThe 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 TitleData Analyst (Department of Radiology)Job Profile TitleData Analyst CJob Description SummaryThe 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 DescriptionThe 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 ResponsibilitiesPerform 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.QualificationsBachelor’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 ConditionsOffice, Library, Computer RoomPhysical EffortTypically sitting at desk or tableJob Locatio