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
Johnson & Johnson is seeking a Director of Global Real World Evidence (RWE) in Raritan, NJ, to lead the execution of innovative RWE strategies and enhance global go-to-market planning. The ideal candidate will have extensive experience in observational research and a strong background in healthcare analytics, particularly within the pharmaceutical or biotech industries

Job Summary

  • The Director of Global RWE is responsible for developing and executing industry-leading strategies to enhance global go-to-market launch planning.
  • This role requires leading evidence generation plans for key immunology assets while ensuring full compliance with regulatory and commercial regulations.
  • Employees are eligible for comprehensive benefits including medical, dental, vision, life insurance, and a 401(k) savings plan.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Director of Global Real World Evidence (RWE) in Raritan, NJ, to lead the execution of innovative RWE strategies and enhance global go-to-market planning. The ideal candidate will have extensive experience in observational research and a strong background in healthcare analytics, particularly within the pharmaceutical or biotech industries.

Salary

Base: $164,000 to $282,900 USD; Bonus/Equity: Eligible for long-term incentive program; Benefits: Medical, dental, vision, 401(k), paid time off

Skills & Requirements

Must-have

  • Real World Evidence strategy development
  • Observational research study design
  • Cross-functional team leadership
  • Immunology asset management
  • Regulatory compliance oversight

Nice-to-have

  • Advanced statistical programming skills
  • Experience with external service providers
  • Comparative effectiveness analysis knowledge
  • Strong storytelling and presentation abilities
  • Fast-paced environment adaptability

Key Requirements

  • Master's degree in quantitative field (PhD preferred)
  • Minimum 6 years experience in pharma or biotech
  • Expertise in observational research across study design and analysis
  • Proficiency in SAS, R, or Python statistical tools

Work Rights

Not specified

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