Post-doc Fellow, Global Market Access Analytics, Rwe And Health Economics

Johnson & Johnson Innovative Medicine

Raritan, New Jersey, United States
Base: $92,000.00 - $148,350.00; bonus/equity: elig...
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Real-world evidence research
Health economic models
Statistical analysis using sas/r
** Johnson & Johnson is seeking a Post-doc Fellow in Global Market Access Analytics to join their Innovative Medicine team in Raritan, New Jersey. The role focuses on conducting real-world evidence research and health economic evaluations, requiring strong quantitative skills and a collaborative mindset. **

Job Summary

  • The Postdoctoral Fellow will receive comprehensive trainings on conducting real-world evidence research and developing economic models by our internal experts and understand their application in market access and reimbursement decisions around the world.
  • Develop health economic models using Microsoft Excel with Visual Basic for Applications (VBA) and/or R.
  • The anticipated base pay range for this position is $92,000-$148,350.00, with eligibility for annual performance bonus and long-term incentive program.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Post-doc Fellow in Global Market Access Analytics to join their Innovative Medicine team in Raritan, New Jersey. The role focuses on conducting real-world evidence research and health economic evaluations, requiring strong quantitative skills and a collaborative mindset. **

Salary

Base: $92,000.00 - $148,350.00; Bonus/Equity: Eligible for annual performance bonus and long-term incentive program; Benefits: Comprehensive benefits package including vacation, sick time, holidays, parental leave, etc.

Skills & Requirements

Must-have

  • Real-world evidence research
  • Health economic models
  • Statistical analysis using SAS/R
  • Develop study reports and manuscripts

Nice-to-have

  • Interest in international healthcare systems
  • Independence and creativity
  • Ability to work in cross-functional teams
  • Alignment with ethical principles

Key Requirements

  • Doctorate Degree (Ph.D.) in relevant quantitative field
  • Strong quantitative trainings
  • Excellent verbal and written communication skills in English
  • Strong computer skills with Excel (including VBA programming) and SAS and/or R

Work Rights

Not specified

Tailored Resume

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