Director, Global Real World Evidence

Johnson & Johnson

Raritan, New Jersey, United States of America
Base: $164,000 to $282,900 usd; bonus/equity: elig...
Hybrid
Real world evidence strategy development
Observational research study design
Cross-functional team leadership
The Director of Global RWE is responsible for developing industry-leading strategies across Johnson & Johnson's Global Commercial Strategy Organization to enhance go-to-market launch planning

Job Summary

  • The Director of Global RWE is responsible for developing industry-leading strategies across Johnson & Johnson's Global Commercial Strategy Organization to enhance go-to-market launch planning.
  • This role requires leading global RWE execution for key immunology assets, including defining research questions, designing studies, and disseminating results to support medical adoption.
  • Employees are eligible for comprehensive benefits including medical, dental, vision, life insurance, a 401(k) savings plan, and up to 480 hours of parental leave.

Matching Summary

The Director of Global RWE is responsible for developing industry-leading strategies across Johnson & Johnson's Global Commercial Strategy Organization to enhance go-to-market launch planning.

Salary

Base: $164,000 to $282,900 USD; Bonus/Equity: Eligible for long-term incentive program; Benefits: Medical, dental, vision, life, disability, 401(k), vacation, sick time, parental leave

Skills & Requirements

Must-have

  • Real World Evidence strategy development
  • Observational research study design
  • Cross-functional team leadership
  • Global RWE data analysis
  • Regulatory compliance oversight

Nice-to-have

  • Immunology therapy area experience
  • Advanced statistical programming skills
  • Strong storytelling and presentation abilities
  • Experience managing external service providers
  • Comparative effectiveness analysis knowledge

Key Requirements

  • Master's degree in quantitative field; PhD preferred
  • Minimum 6 years relevant pharma or biotech experience
  • Demonstrated expertise in observational research and study design
  • Proficiency in SAS, R, or Python statistical tools
  • Proven experience in matrixed cross-functional environments

Work Rights

Not specified

Tailored Resume

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