Senior Scientist, Data Science, GenAI - R&D DDSAI - Therapeutics Development & Supply (TDS)

Johnson & Johnson•Spring House, PA

About The Position

The R&D Data Science organization is seeking a Senior Scientist, Data Science to contribute to the design, development, evaluation, and deployment of AI and generative AI systems that accelerate scientific, regulatory, and technical workflows across Therapeutics Development & Supply (TDS). This hands-on individual contributor works with Product Development, Manufacturing, Clinical Supply Chain, Quality, and Digital and Data Science teams to develop LLM applications, agentic workflows, and AI-driven automation solutions for TDS. Use cases include scientific and regulatory document authoring, evidence-based response generation, knowledge retrieval and synthesis, technical decision support, and workflow automation. With guidance from senior technical colleagues in DDSAI, the role delivers defined components and workflows within agreed priorities and milestones, using established architectures, reusable components, evaluation standards, and responsible AI practices. The successful candidate brings practical AI development skills and an understanding of pharmaceutical CMC development, and seeks technical input on complex design decisions, risks, and delivery challenges.

Requirements

Degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field.
1–3 years of hands-on experience developing AI, NLP, or machine learning solutions, including practical experience applying large language models (LLMs).
Working knowledge of Pharmaceutical Product Development, including Chemistry, Manufacturing and Controls (CMC).
Proficiency in Python, with experience developing, testing, and documenting code.
Strong communication skills and ability to explain technical topics to non-technical stakeholders.

Nice To Haves

Advanced degree.
Exposure to open-source agentic frameworks such as LangGraph, DSPy, or mem0.
Familiarity 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.

Responsibilities

Develop, test, and support deployment of AI solutions for documentation, knowledge retrieval, evidence synthesis, and decision support in the TDS ecosystem.
Build and test defined components of agentic AI workflows coordinating models, tools, data, and human review across multi-step scientific and supply chain processes.
Implement and adapt reusable AI capabilities using established DDSAI AI/ML architectures and platform standards.
Work with scientific, regulatory, and operational stakeholders and senior technical colleagues to translate defined needs into requirements and implementations for regulated environments.
Apply established LLM evaluation frameworks, including rubrics, traceability, robustness, uncertainty, and usability; contribute test cases and analysis to improve these frameworks.
Follow responsible AI practices, including human-in-the-loop validation, risk assessment, content safety, and governance, escalating risks as appropriate.
Apply software engineering practices, including modular design, testing, documentation, and lifecycle management, with code review and technical guidance.
Contribute implementation experience and evaluation findings to best practices for LLM, RAG, and agentic AI systems across DDSAI and TDS.
Work with regulatory, quality, CMC, scientific, and technical stakeholders to clarify requirements, validate outputs, and support adoption.
Collaborate with DDSAI AI/ML to use shared infrastructure, established architectures, evaluation methods, and reusable components.
Communicate implementation progress, evaluation results, system limitations, and risks to technical and non-technical stakeholders; seek guidance when issues affect scope, design, or delivery.

Benefits

Consolidated retirement plan (pension) and savings plan (401(k)), subject to plan terms.
Eligibility to participate in the Company’s long-term incentive program.
Vacation: 120 hours per calendar year.
Sick time: 40 hours per calendar year, with different amounts specified for employees residing in Colorado or Washington.
Holiday pay, including floating holidays: 13 days per calendar year.
Work, Personal and Family Time: up to 40 hours per calendar year.
Parental Leave: 480 hours within one year of the birth, adoption, or foster care of a child.
Bereavement Leave: 240 hours for an immediate family member and 40 hours for an extended family member per calendar year.
Caregiver Leave: 80 hours in a 52-week rolling period.
Volunteer Leave: 32 hours per calendar year.
Military Spouse Time-Off: 80 hours per calendar year.