Assoc Director, Hema Analytics and Rwe

Johnson & Johnson Johnson & Johnson · Pharma · West Chester, PA +7

Associate Director for Health Economics and Market Access (HEMA) Analytics and Real-World Evidence (RWE) at Johnson & Johnson. The role involves developing and maintaining analytics infrastructure, conducting advanced statistical analyses (including predictive modeling), building data pipelines, and designing/executing RWE studies using various healthcare data sources. The position requires expertise in statistical software (SAS, R, Python), SQL, data visualization, and knowledge of US healthcare systems and reimbursement structures. The role also involves cross-functional collaboration, external vendor management, and ensuring compliance with regulatory standards like HIPAA.

What you'd actually do

  1. Develop and maintain HEMA analytics infrastructure, dashboards, and reporting tools to support evidence-based decision-making across the organization
  2. Conduct advanced statistical analyses including comparative effectiveness, outcomes research, burden-of-illness studies, predictive modeling, and utilization and reimbursement analyses
  3. Build and maintain standardized analytic code libraries, data pipelines, and reproducible research workflows
  4. Evaluate and recommend new data sources, analytics platforms, and methodological approaches to strengthen the organization's RWE capabilities
  5. Design and execute real-world evidence studies using claims and billing databases, registries, electronic health records, and other secondary data sources to support the Orthopaedics portfolio

Skills

Required

  • Master's degree or PhD in Epidemiology, Biostatistics, Health Services Research, Health Economics, or related quantitative field
  • 6+ years of experience in RWE, outcomes research, or health analytics within the medical device, MedTech, or pharmaceutical industry
  • Hands-on experience with claims databases (e.g., Medicare, MarketScan, Optum), and electronic health records
  • Proficiency in SAS, R, Python, or similar statistical software
  • Proficiency in SQL
  • Proficiency in data visualization tools (e.g., Tableau, Power BI)
  • Strong study design capabilities, including retrospective cohort, case-control, and quasi-experimental methods
  • Excellent communication skills
  • Ability to present complex data to non-technical audiences
  • Knowledge of US healthcare delivery systems
  • Knowledge of public and private insurance reimbursement structures
  • Experience with regulatory, ethical, and data privacy standards including HIPAA

Nice to have

  • Orthopaedics subject matter expertise (e.g., joint reconstruction, trauma, spine, sports medicine)
  • Publication track record

What the JD emphasized

  • Master's degree or PhD in Epidemiology, Biostatistics, Health Services Research, Health Economics, or related quantitative field
  • 6+ years of experience in RWE, outcomes research, or health analytics within the medical device, MedTech, or pharmaceutical industry
  • Hands-on experience with claims databases (e.g., Medicare, MarketScan, Optum), and electronic health records
  • Proficiency in SAS, R, Python, or similar statistical software; SQL, and data visualization tools (e.g., Tableau, Power BI)
  • Strong study design capabilities, including retrospective cohort, case-control, and quasi-experimental methods
  • Excellent communication skills with the ability to present complex data to non-technical audiences
  • Ensure all studies comply with relevant regulatory, ethical, and data privacy standards including HIPAA

Other signals

  • Develop and maintain HEMA analytics infrastructure, dashboards, and reporting tools
  • Conduct advanced statistical analyses including comparative effectiveness, outcomes research, burden-of-illness studies, predictive modeling
  • Build and maintain standardized analytic code libraries, data pipelines, and reproducible research workflows
  • Evaluate and recommend new data sources, analytics platforms, and methodological approaches to strengthen the organization's RWE capabilities
  • Design and execute real-world evidence studies using claims and billing databases, registries, electronic health records, and other secondary data sources