Director, Global Real-world Evidence

Johnson & Johnson Johnson & Johnson · Pharma · Raritan, NJ +1

Johnson & Johnson is seeking a Director, Global Real-World Evidence to lead the development and execution of RWE strategies and evidence generation. This role involves formulating research objectives, designing study protocols, evaluating methodologies, overseeing data collection and analysis, and disseminating findings. The Director will manage RWE programs globally, oversee budgets and vendors, and ensure compliance with regulatory requirements. The role requires expertise in advanced statistical methodologies, including AI, machine learning, and causal inference, and a proven track record in observational research.

What you'd actually do

  1. Leading the development and implementation of global Real-World Evidence (RWE) strategies and evidence generation initiatives.
  2. Oversee execution of complex RWE programs on a global scale.
  3. Lead the coordination and execution of Evidence Labs, facilitating research concept development and stakeholder alignment through the worldwide IEGP process.

Skills

Required

  • Master’s degree in public health, health economics and outcomes research, epidemiology, (bio)statistics or related quantitative research fields
  • A minimum of 8 years post-graduate experience in the healthcare industry, preferably in RWE, epidemiology, HEOR, healthcare data science, evidence generation in medical affairs/market access environment.
  • Demonstrate fluency in advanced statistical methodologies and emerging approaches in RWE research, with strong knowledge of the latest methodological advancements such as AI, machine learning, and causal inference to advance evidence generation.
  • Proven track record in conducting observational research (prospective and retrospective), including study design, database assessment, protocol development, study execution, dissemination and scientific publication.
  • Strong communication and presentation skills
  • Experience in working in a matrix team environment is required

Nice to have

  • Doctorate or other advanced degree is preferred.

What the JD emphasized

  • AI, machine learning, and causal inference to advance evidence generation