Senior Data Analyst

University of Pennsylvania Perelman School of Medicine
Onsite

About The Position

This role integrates biostatistics, data science, and data engineering to support and advance the Department of Neurosurgery’s research and data infrastructure at the University of Pennsylvania. 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 is crucial for advancing the department’s research strategy through modern data science and robust research infrastructure. The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation, consistently ranking among the top 10 universities. It offers a unique working environment within the city of Philadelphia, situated on a beautiful urban campus with easy access to a range of educational, cultural, and recreational activities. The position is contingent upon funding.

Requirements

  • Bachelor's degree
  • 4 to 6 years of experience or equivalent combination of education and experience

Responsibilities

  • 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.
  • 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.

Benefits

  • Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits
  • Flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars
  • Tuition assistance for employee, spouse, and dependent children at Penn
  • Tuition assistance for dependent children at other institutions
  • Generous retirement plans (Basic, Matching, and Supplemental) with pre-tax or Roth basis
  • Wide variety of investment options through TIAA and Vanguard
  • Substantial amount of time away from work (vacations, personal affairs, illness, family time)
  • Long-term care insurance for faculty and staff (and eligible family members)
  • Wide variety of programs and resources to help care for health, family, and work-life balance
  • Array of resources for personal and professional advancement
  • Access to University resources (libraries, athletic facilities, arboretum, art galleries, Penn Museum, Annenberg Center, Penn Relays)
  • Discounts and special services (arts and entertainment, transportation, mortgages, cars, cellular phone service, movie tickets, theme parks)
  • Flexible work options (non-traditional work hours, locations, and/or job structures)
  • Forgivable loan for eligible employees buying a home or residing in West Philadelphia (for closing costs or home improvements)
  • Reimbursement for qualified expenses in connection with the legal adoption of an eligible child (up to two adoptions)
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