Principal Scientist, Data Science – AI & Generative AI Systems – R&D DDSAI – Therapeutics Development & Supply (TDS)
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
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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of AmericaJob 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 by 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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Required Skills:
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 AnalysisThe anticipated base pay range for this position is :
$117,000.00 - $201,250.00Additional 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.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
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
Skills Required
- Degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field
- 3-5+ years of hands-on experience building and deploying AI, NLP, or generative AI solutions, including large language models
- Experience in pharmaceutical product development, including Chemistry, Manufacturing and Controls (CMC)
- Strong proficiency in Python
- Strong communication skills and ability to explain technical topics to non-technical stakeholders
- Advanced degree
- Experience with open-source agentic frameworks such as LangGraph, DSPy, or mem0
- Experience with retrieval-augmented generation, embeddings, vector databases, and model evaluation
- Exposure to regulated environments, including GxP
- Familiarity with responsible AI frameworks, content safety practices, and AI governance in regulated environments
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines








