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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.
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