Principal Scientist, Data Science – AI & Generative AI Systems – R&D DDSAI – Therapeutics Development & Supply (TDS)
Johnson & Johnson Innovative Medicine
Summary
The R&D Data Science organization is seeking a Principal Scientist, Data Science to design, build, evaluate, and deploy AI and generative AI systems that accelerate scientific, regulatory, and technical workflows across Therapeutics Development & Supply (TDS). This hands-on individual contributor works across Product Development, Manufacturing, Clinical Supply Chain, Quality, and Digital and Data Science teams to deliver LLM applications, agentic workflows, and AI-driven automation solutions specific to TDS.
Job description
Key Responsibilities
AI Solution Development & Delivery
- Design, build, test, and deploy AI solutions for documentation, knowledge retrieval, evidence synthesis, and decision support in the TDS ecosystem.
- Build agentic AI workflows that coordinate models, tools, data, and human review across multi-step scientific and supply chain processes.
- Develop reusable AI capabilities aligned with DDSAI AI/ML architecture and platform standards.
- Translate scientific, regulatory, and operational needs into scalable AI systems for regulated environments.
Technical Rigor & Responsible AI
- Establish evaluation frameworks for LLM systems, including rubrics, traceability, robustness, uncertainty, and usability.
- Apply responsible AI practices, including human-in-the-loop validation, risk assessment, content safety, and governance.
- Maintain strong software engineering practices, including modular design, testing, documentation, and lifecycle management.
- Contribute to best practices for LLM, RAG, and agentic AI systems across DDSAI and TDS.
Cross-Functional Collaboration
- Partner with regulatory, quality, CMC, scientific, and technical stakeholders to define use cases, validate outputs, and drive adoption.
- Collaborate with DDSAI AI/ML on infrastructure, architecture, evaluation, and reusable components.
- Communicate system behavior, risks, and tradeoffs to both technical and non-technical stakeholders.
Qualifications
Required
- Degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
- 3–5+ years of hands-on experience building and deploying AI, NLP, or generative AI solutions, including large language models (LLMs).
- Experience in Pharmaceutical Product Development, including Chemistry, Manufacturing and Controls (CMC)
- Strong proficiency in Python
- Strong communication skills, with the ability to explain technical topics to non-technical stakeholders.
Preferred
- Experience with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.)
- Experience with retrieval-augmented generation, embeddings, vector databases, and model evaluation.
- Exposure to working in regulated environments (GxP)
- Familiarity with responsible AI frameworks, content safety practices, and AI governance in regulated environments.
Requirements
- Degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
- 3–5+ years of hands-on experience building and deploying AI, NLP, or generative AI solutions, including large language models (LLMs).
- Experience in Pharmaceutical Product Development, including Chemistry, Manufacturing and Controls (CMC)
- Strong proficiency in Python
- Strong communication skills, with the ability to explain technical topics to non-technical stakeholders.
- Experience with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.)
- Experience with retrieval-augmented generation, embeddings, vector databases, and model evaluation.
- Exposure to working in regulated environments (GxP)
- Familiarity with responsible AI frameworks, content safety practices, and AI governance in regulated environments.
Benefits
- Pension plan
- 401(k) savings plan
- Long-term incentive program
- Vacation
- Sick time
- Holiday pay
- Parental leave
- Bereavement leave
- Caregiver leave
- Volunteer leave
- Military spouse time-off
Company overview
Johnson & Johnson Innovative Medicine is the pharmaceutical division of Johnson & Johnson, leading the way in medical innovation with a relentless focus on bringing transformational treatments to patients worldwide. The company applies rigorous science and compassion to address the most complex diseases of our time, developing groundbreaking medicines across key therapeutic areas including oncology, immunology, neuroscience, and cardiopulmonary medicine. With deep expertise and global reach, Johnson & Johnson Innovative Medicine reimagines how devastating diseases are treated and cured, delivering hope and better care for millions of patients and their families. The organization pioneers the path from laboratory research to clinical application, championing patients every step of the way while maintaining an unwavering commitment to scientific excellence and patient-centered innovation.