Senior Scientist, Ai Applications - R&d Oncology

Johnson & Johnson Innovative Medicine

Spring House, Pennsylvania, United States of America
Base: $109,000 to $174,800; bonus/equity: eligible...
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Ai/ml scientific applications
Large language models (llms)
Multimodal reasoning systems
** Johnson & Johnson Innovative Medicine is seeking a Senior Scientist for AI Applications in R&D Oncology, located in various offices across the United States. The role focuses on developing AI and machine learning applications to enhance drug discovery and development within the oncology field. **

Job Summary

  • Join a mission-driven team developing the future of autonomous AI in oncology drug discovery and development, harnessing massive datasets to accelerate research across the drug development pipeline.
  • This individual contributor role focuses on hands-on technical delivery, developing and optimizing multimodal reasoning systems, novel agent memory architectures, and innovative approaches for uncertainty quantification.
  • The position offers a competitive compensation package including base pay, annual performance bonus, and comprehensive benefits such as medical, dental, vision, retirement plans, and generous paid time off.

Matching Summary

Match Score: 75

** Johnson & Johnson Innovative Medicine is seeking a Senior Scientist for AI Applications in R&D Oncology, located in various offices across the United States. The role focuses on developing AI and machine learning applications to enhance drug discovery and development within the oncology field. **

Salary

Base: $109,000 to $174,800; Bonus/Equity: eligible for annual performance bonus; Benefits: medical, dental, vision, life insurance, disability, retirement plan, 401(k), vacation, sick time, holiday pay, personal and family time

Skills & Requirements

Must-have

  • AI/ML scientific applications
  • Large Language Models (LLMs)
  • multimodal reasoning systems
  • agent memory architectures
  • uncertainty quantification in AI
  • Python programming language

Nice-to-have

  • mission-driven scientist
  • inclusive work environment
  • patient-centric approach
  • collaboration with business leaders

Key Requirements

  • Ph.D. degree in AI/ML or related field
  • At least two (2) years working experience
  • Knowledge in sophisticated mathematics
  • Proficiency with open-source agentic frameworks
  • Proficiency with deep learning frameworks

Work Rights

Not specified

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