Principal Scientist, Data Science - AI & Generative AI Systems - R&D DDSAI - Therapeutics Development & Supply (TDS)

Johnson & Johnson Co.; Spring House (PA); On-site; USD 117,000 - 201,000; Full time

Benefits offered by this job

Vacation 120 hours/year

Sick time 40 hours/year

Holiday pay 13 days/year

Parental Leave - 480 hours

Job summary

Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist, Data Science - AI & Generative AI Systems - R&D DDSAI - Therapeutics Development & Supply (TDS). The primary location is open to Spring House, PA; Malvern, PA.

The role combines hands-on AI development with collaboration across Product Development, Manufacturing, Clinical Supply Chain and Quality to deliver LLM applications, agentic workflows, and AI-driven automation that accelerate regulatory and scientific

Qualifications

• Degree in Engineering, Data Science, Life Sciences, Computer Science, or related field.
• 3-5+ years of hands-on experience building and deploying AI/NLP/generative AI solutions, including LLMs.
• Experience in Pharmaceutical Product Development, including CMC.
• Strong proficiency in Python.
• Strong communication skills to explain technical topics to non-technical stakeholders.

Responsibilities

• Design, build, test, and deploy AI solutions for documentation, knowledge retrieval, evidence synthesis, and decision support in the TDS ecosystem.
• Establish evaluation frameworks for LLMs, including rubrics, traceability, robustness, uncertainty, and usability; apply responsible AI practices.
• Collaborate with regulatory, quality, CMC, scientific, and technical stakeholders to validate outputs and drive adoption.

Skills

Python

Communication skills

AI/ML experience

Education

Engineering, Data Science, Life Sciences, Computer Science degree

Advanced degree preferred

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

Scientific/Technology

All Job Posting Locations

Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America

Job Description

Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist, Data Science - AI & Generative AI Systems - R&D DDSAI - Therapeutics Development & Supply (TDS).

The primary location for this position is open to Spring House, PA; Malvern, PA;

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

POSITION 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. Key use cases include scientific and regulatory document authoring, evidence-based response generation, knowledge retrieval and synthesis, technical decision support, and workflow automation. The role is aligned to TDS priorities and collaborates closely with DDSAI AI/ML on shared architectures, reusable components, evaluation standards, responsible AI practices, and scalable deployment. A successful candidate has a strong background in pharmaceutical CMC development and can develop AI solutions in collaboration with AI/ML teams.

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.

Why This Role Is Unique

This is a rare opportunity to grow in one of the world's most ambitious and fast-growing R&D Data Science organizations, shaping how Therapeutics Development & Supply data powers next-generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson's scientific discovery, fuel AI innovation, and impact patients globally.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected under federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

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#JNJDataScience

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Required Skills

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

Preferred Skills

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

Salary and Benefits

The anticipated base pay range for this position is : $117,000.00 - $201,250.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company's long-term incentive program.

• Vacation -120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
• 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/foster care of a child
• Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave - 80 hours in a 52-week rolling period10 days
• Volunteer Leave - 32 hours per calendar year
• Military Spouse Time-Off - 80 hours per calendar year

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits