Senior Manager Post-market Surveillance

Johnson & Johnson Johnson & Johnson · Pharma · Cincinnati, OH +5

Senior Manager responsible for ensuring post-market surveillance processes are compliant and effective, with a focus on complaint trending, signal detection, data management, and data analysis. This role leads a team of data scientists to develop and advance data-analysis methods, including AI capabilities, for MedTech post-market surveillance and vigilance teams. The role also involves interpreting regulatory requirements, providing governance for procedures and systems, and managing stakeholders.

What you'd actually do

  1. Leads a team of data scientists to develop, maintain, and advance data-analysis methods, processes, tools, systems, and capabilities (including Artificial Intelligence [AI]) used by MedTech post-market surveillance and vigilance teams.
  2. Oversees the timely completion and delivery of post-market surveillance plans and reports for company products, for use as inputs to technical, safety, and regulatory documentation.
  3. Oversees methods for analyzing, evaluating, and escalating potential post-market product signals. Maintains and continuously improves procedures, processes, and systems for complaint-data analysis and signal detection.
  4. Responsible for development of signal detection algorithms and data analysis programs.
  5. Ensures appropriate governance of data analysis quality and documentation of appropriate statistical rationales.

Skills

Required

  • Leadership and team management
  • Post-market surveillance processes
  • Data analysis and interpretation
  • Signal detection
  • Regulatory compliance (global regulations)
  • AI/ML for data analysis
  • Statistical analysis
  • Quality management systems
  • Technical field degree (Data Science, Biostatistics, Epidemiology, Public Health, Quality Engineering, Biomedical Engineering, Computer Science, Biology, etc.)
  • Experience in pharmaceutical, consumer, medical device or another highly regulated industry

Nice to have

  • Strategic planning for emerging regulations
  • Customer Quality and Customer Experience Engineering insights
  • Process improvement
  • CAPA management
  • Audit support

What the JD emphasized

  • post-market surveillance processes
  • governance
  • data-analysis methods, processes, tools, systems, and capabilities (including Artificial Intelligence [AI])
  • signal detection algorithms and data analysis programs
  • data analysis quality
  • regulatory requirements
  • patient safety
  • proactive regulatory-risk management
  • highly regulated industry

Other signals

  • AI/ML is used to develop, maintain, and advance data-analysis methods, processes, tools, systems, and capabilities
  • development of signal detection algorithms and data analysis programs
  • continually optimizes data analysis techniques and tools to advance capabilities and efficiency