Senior Scientist, AI Applications - R&d Immunology Data Science & Digital Health

Johnson & Johnson Johnson & Johnson · Pharma · Titusville, NJ +7

Senior Scientist role focused on developing and delivering AI/ML scientific applications in Immunology R&D, specifically working with LLMs and advanced data science techniques to accelerate drug discovery. Key focus areas include multimodal reasoning, agent robustness, memory architectures, and uncertainty quantification. The role involves hands-on technical delivery, translating business opportunities into research plans, and contributing to the broader AI strategy.

What you'd actually do

  1. Develop and optimize multimodal reasoning systems that integrate large-scale structured and unstructured data to derive actionable conclusions
  2. Build novel agent memory architectures to enable persistent knowledge retention and context-aware decision-making across extended discovery workflows
  3. Prototype and evaluate innovative approaches for uncertainty quantification and reliability assessment in AI-driven scientific reasoning
  4. Serve as a key contributor to the over-arching AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community.

Skills

Required

  • Ph.D. degree in AI/ML or related field (e.g., computer science, machine learning, data science, applied mathematics, statistics) with at least two (2) years working experience
  • Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification, information theory, causal inferencing, graph neural networks, etc.
  • Proficiency with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.)
  • Proficiency with deep learning frameworks (e.g., PyTorch, Tensorflow, etc.)
  • Proficiency in one or more programming languages – preferably Python

Nice to have

  • Understanding of the drug discovery pipeline and familiarity with biological data types
  • Experience in Immunology research
  • Strong understanding of statistics and applicable methods to validate model performance
  • Familiarity with cloud hosting solutions (ex. AWS and/or Azure)

What the JD emphasized

  • mission-driven Scientist aimed at developing the future of autonomous AI in Immunology drug discovery and development
  • work hands on to deliver decision-driving results
  • connect research across the entire R&D lifecycle
  • broad knowledge of how advanced analytics is applied across Johnson and Johnson Innovative Medicine pipeline is expected
  • Define and enforce engineering best practices across AI prototyping, including architecture patterns, documentation standards, quality gates, and reproducibility criteria

Other signals

  • Develop and optimize multimodal reasoning systems
  • Build novel agent memory architectures
  • Prototype and evaluate innovative approaches for uncertainty quantification and reliability assessment in AI-driven scientific reasoning
  • Work with Large Language Models (LLMs) and sophisticated data science techniques
  • transform AI/ML needs into actionable science