Associate Director, Oncology Ai Imaging Biomarkers

J&J FAMILY OF COMPANIES

Cambridge, Massachusetts, United States of America
Base: $137,000 to $235,750; bonus/equity: annual p...
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Digital image analysis
Computer vision
Ai/ml in pathology
** Johnson & Johnson is seeking an Associate Director for Oncology AI Imaging Biomarkers to lead the development of AI-driven biomarkers in its Oncology R&D team. The ideal candidate will possess extensive expertise in computational pathology, AI, and digital image analysis, while contributing to innovative cancer treatment solutions. **

Job Summary

  • Support the strategic and technical advancement of AI-based biomarkers within J&J’s Oncology R&D portfolio.
  • Collaborate with internal teams to integrate digital biomarker insights into JNJ drug development and precision medicine diagnostic strategies.
  • The anticipated base pay range for this position is $137,000 to $235,750, with eligibility for an annual performance bonus and comprehensive benefits.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking an Associate Director for Oncology AI Imaging Biomarkers to lead the development of AI-driven biomarkers in its Oncology R&D team. The ideal candidate will possess extensive expertise in computational pathology, AI, and digital image analysis, while contributing to innovative cancer treatment solutions. **

Salary

Base: $137,000 to $235,750; Bonus/Equity: Annual performance bonus; Benefits: Medical, dental, vision, life insurance, disability, retirement plan, savings plan, paid time off

Skills & Requirements

Must-have

  • digital image analysis
  • computer vision
  • AI/ML in pathology
  • Oncology Computer Vision applications
  • computational pathology

Nice-to-have

  • organizational change
  • project delivery
  • managing external vendors
  • diagnostic product development
  • healthcare datasets analysis

Key Requirements

  • PhD or equivalent advanced degree
  • 5+ years business experience
  • experience in computational pathology
  • experience in computer vision
  • experience in tissue image analysis
  • experience in AI-enabled diagnostic product development

Work Rights

Not specified

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