Johnson & Johnson
Johnson & Johnson
Johnson & Johnson is a global healthcare company working across innovative medicine and medical technology. Its teams develop solutions in oncology, immunology, neuroscience, specialty ophthalmology, interventional care, and orthopaedics, combining science and technology to address complex health needs. The company also emphasizes health equity, environmental sustainability, diversity, and inclusion as it serves providers, patients, and communities worldwide.

Principal Scientist, AI Reasoning for Drug Discovery

Lead the design of multimodal AI reasoning platforms for Johnson & Johnson’s drug discovery pipeline. Advance agentic systems, uncertainty quantification, and rigorous scientific validation.

Description

  • Design an AI reasoning platform to support Translational Safety decisions throughout drug discovery and development
  • Develop multimodal AI systems that combine scientific data to generate actionable insights
  • Create agent memory architectures that preserve knowledge and enable context-aware decisions across discovery and development
  • Direct research into uncertainty quantification and trustworthy AI-based scientific reasoning
  • Apply advances in AI and machine learning to computational drug discovery use cases
  • Guide and mentor research teams
  • Evaluate AI agents against human experts and leading methods
  • Share research outcomes through publications in premier venues

Requirements

  • Ph.D. in AI, machine learning, or a related discipline, plus at least two years of demonstrated experience
  • Advanced knowledge of Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, and related techniques
  • Experience using agentic frameworks such as LangGraph, DSPy, and mem0
  • Proficiency with deep learning frameworks including PyTorch and TensorFlow
  • Outstanding Python programming ability
  • Experience designing scalable systems that connect research innovation with production deployment
  • Capability to lead small research teams
  • Preferred: familiarity with drug discovery workflows and biological data types
  • Preferred: knowledge of statistical and model-performance validation techniques
  • Preferred: experience with AWS and/or Azure

Benefits

  • Consolidated retirement program with pension
  • 401(k) savings plan
  • 120 vacation hours per calendar year
  • 40 sick hours per calendar year, or 48 hours for Colorado employees and 56 hours for Washington employees
  • 13 paid holidays per calendar year, including floating holidays
  • Up to 40 hours of work, personal, and family time per calendar year
  • 480 hours of parental leave within one year of a child’s birth, adoption, or foster placement
  • Bereavement leave of 240 hours for an immediate family member or 40 hours for an extended family member per calendar year
  • 80 hours of caregiver leave during a rolling 52-week period
  • 32 hours of volunteer leave per calendar year
  • 80 hours of military spouse time off per calendar year
  • Employee benefits information is available through careers.jnj.com/employee-benefits

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