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.

Key Responsibilities

• Perform processing, organization, harmonization, and quality control of multimodal biomedical datasets.
• Develop and maintain computational workflows and analytical pipelines using Python and R.
• Conduct statistical analyses and data visualization.
• Assist with multimodal data integration, database management, and data standardization.
• Collaborate with interdisciplinary teams.
• Contribute to preparation of figures, reports, presentations, and manuscripts.
• Support development of reproducible research infrastructure.

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 equivalent.
• Strong programming experience in Python, R.
• Experience working with complex biomedical or scientific datasets.
• Familiarity with statistical analysis methods and data visualization techniques.