Johnson & Johnson is a global healthcare company working across pharmaceuticals, medical devices, and consumer health. Its research and product development activities include medicines and therapies for oncology, immunology, neuroscience, and cardiopulmonary conditions, alongside MedTech solutions for cardiovascular care, orthopaedics, surgery, and vision. The company’s wider work also includes health and wellness education, large-scale manufacturing, investor activities, and global social-impact initiatives, creating opportunities across scientific, clinical, engineering, manufacturing, commercial, and corporate functions.
Johnson & Johnson Principal Scientist, AI Reasoning for Drug Discovery (Hybrid)
Lead the design of multimodal AI reasoning and agent architectures for Johnson & Johnson’s drug discovery pipeline. Advance uncertainty quantification, scientific validation, and computational therapeutics research.
Description
- Design an AI reasoning platform for translational safety decisions across drug discovery and development
- Develop multimodal AI systems that combine scientific data into actionable insights
- Build agent memory architectures that provide persistent, context-aware intelligence from discovery through development
- Direct research into uncertainty quantification and reliable AI-based scientific reasoning
- Apply emerging AI and machine learning advances to computational drug discovery
- Mentor researchers and guide small research groups
- Evaluate AI agents against human experts and leading benchmark methods
- Share research results through premier research publications
Requirements
- Ph.D. in AI/ML or a related discipline such as computer science, machine learning, data science, applied mathematics, or statistics
- At least two years of demonstrated professional experience
- Advanced knowledge of Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, and related methods
- Hands-on proficiency with LangGraph, DSPy, mem0, PyTorch, and TensorFlow
- Exceptional ability to program in Python
- Ability to design scalable systems that connect research innovation with production deployment
- Capability to lead small teams of researchers
- Preferred: knowledge of drug discovery workflows and biological data types
- Preferred: strong command of statistics and model-performance validation techniques
- Preferred: familiarity with AWS and/or Azure
Benefits
- Consolidated retirement program with pension
- Savings plan with 401(k)
- 120 vacation hours per calendar year
- 40 sick-time hours per calendar year, increasing to 48 hours for Colorado residents and 56 hours for Washington residents
- 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 and 40 hours for an extended family member per calendar year
- 80 caregiver-leave hours during a rolling 52-week period
- 32 volunteer-leave hours per calendar year
- 80 military spouse time-off hours per calendar year
- Inclusive interview accommodations and equal opportunity employment policies.
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