Associate Director for R&D Data Science and Digital Health, Real-World Evidence

Johnson & Johnson-posted 3 months ago
$137,000 - $235,750/Yr
Full-time • Senior
Hybrid • Spring House, PA
5,001-10,000 employees
Chemical Manufacturing
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Johnson & Johnson Innovative Medicine is recruiting an Associate Director for R&D Data Science and Digital Health, Real-World Evidence. The Data Science Real-World Evidence Analytics & Insights team develops innovative insights and solutions bringing to bear a variety of different data sources across multiple disease areas. We are looking for an outstanding scientist and leader whose responsibilities include being a hands-on technical leader, leading a portfolio of RWE projects while instituting best practices, and developing common technical tools. The role involves end-to-end expertise in RWE studies, providing thought leadership, creating study protocols, and partnering with various teams to drive strategic initiatives.

  • Be a hands-on technical leader, leading a portfolio of RWE projects while instituting best practices.
  • End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
  • Provide thought leadership and hands-on programming expertise for developing RWD methodologies.
  • Independently create study protocols, statistical analysis plans, and statistical programming deliverables.
  • Experience creating pipelines, functions, packages to perform frequently used actions.
  • Partner with Data Science Therapeutic Area scientists to conceptualize and deliver RWE solutions.
  • Contribute to the development and implementation of best practices and process improvements.
  • Partner with Data Science stakeholders to lead and coordinate policy efforts.
  • A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, statistics, biostatistics, or similar).
  • At least 5 years of relevant experience within start-up, technology, biopharma or healthcare industries.
  • Extensive hands-on experience with data engineering and exploratory data analysis.
  • Demonstrated expertise with multiple real-world data sources (EHR, insurance claims, registry data).
  • Excellent interpersonal, communication and presentation skills.
  • Extensive experience with database programming and use of statistical programming languages including expert proficiency in either R or Python.
  • Demonstrated experience as a technical lead in developing, testing and maintaining technical frameworks for RWE analyses.
  • Extensive knowledge of RWE Common Data Models (OMOP, FHIR, i2b2) & Analysis frameworks.
  • Familiarity with drug discovery and the clinical development process.
  • Expertise in Oncology, Immunology or Neuroscience drug development.
  • Experience in regulatory-grade evidence, communicating and responding to agency reviews.
  • Competitive compensation.
  • Paid vacation.
  • Paid sick days.
  • Paid family/work time.
  • 401(k) matching.
  • Short- and long-term incentives tied to performance.
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