Associate Principal Scientist (associate Director), Real World Data Strategy & Partnerships

Newyorkbioconnect

Base: $142,400.00 - $224,100.00; bonus/equity: eli...
Hybrid
Data strategy and partnership management
Advanced analytics and quantitative science methods
Real-world data and evidence analysis
The BARDS Real-World Evidence Capabilities & Analytics team seeks an Associate Director to develop and manage strategic partnerships that accelerate insights informing healthcare decisions and policy

Job Summary

  • The BARDS Real-World Evidence Capabilities & Analytics team seeks an Associate Director to develop and manage strategic partnerships that accelerate insights informing healthcare decisions and policy.
  • The role involves conducting advanced data analytic projects, leading knowledge management initiatives, and collaborating across multiple internal and external stakeholders in a fast-paced environment.
  • The company offers a comprehensive benefits package including medical, dental, vision, retirement plans, paid holidays, vacation, and supports a hybrid work model for office-based U.S. employees.

Matching Summary

The BARDS Real-World Evidence Capabilities & Analytics team seeks an Associate Director to develop and manage strategic partnerships that accelerate insights informing healthcare decisions and policy.

Salary

Base: $142,400.00 - $224,100.00; Bonus/Equity: Eligible for annual bonus and long-term incentive; Benefits: Medical, dental, vision, retirement, paid holidays, vacation, and more

Skills & Requirements

Must-have

  • Data strategy and partnership management
  • Advanced analytics and quantitative science methods
  • Real-world data and evidence analysis
  • Stakeholder relationship management
  • Health technology assessment (HTA)
  • Cross-functional collaboration
  • Scientific communication and publishing

Nice-to-have

  • Entrepreneurial mindset
  • Innovative project execution
  • Problem solving in matrixed teams
  • Knowledge management and data innovation
  • Business development and strategic planning
  • Artificial intelligence and generative AI application

Key Requirements

  • Doctoral or Master’s degree in relevant quantitative discipline
  • 3+ years experience with PhD or 5+ years with Master’s degree
  • Hands-on experience in healthcare quantitative science methods
  • Excellent interpersonal communication skills
  • Strong organizational and time-management skills
  • U.S. work authorization not explicitly required but implied
  • Experience with epidemiology, outcomes research, or health informatics preferred

Work Rights

Not specified

Tailored Resume

Cover Letter