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

Spring House, Pennsylvania, United States of America

Pay
$117,000–201,250/year · BaseAnnual period assumed — pay source
The anticipated base pay range for this position is : $117,000.00 - $201,250.00 Additional Description for Pay Transparency:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Johnson & Johnson

What you’ll work on

Full posting

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.

  • Design, build, test and deploy AI solutions for documentation, knowledge retrieval and decision support

  • Build agentic AI workflows coordinating models, tools, data and human review

  • Establish evaluation frameworks for LLM systems

  • Apply responsible AI practices including human-in-the-loop validation and risk assessment

  • Partner with regulatory, quality and CMC stakeholders to define use cases and drive adoption

From the employer’s posting
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.
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.
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.
Partner with regulatory, quality, CMC, scientific, and technical stakeholders to define use cases, validate outputs, and drive adoption.

What you’ll bring

All qualifications

Core experience

  • 3–5+ years of hands-on experience building and deploying AI, NLP, or generative AI solutions, including large language models (LLMs).
  • Experience with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.)
  • Experience in Pharmaceutical Product Development, including Chemistry, Manufacturing and Controls (CMC)
  • Experience with retrieval-augmented generation, embeddings, vector databases, and model evaluation.
  • Strong proficiency in Python
  • Familiarity with responsible AI frameworks, content safety practices, and AI governance in regulated environments.

Preferred experience

  • Degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
Qualification wording
3–5+ years of hands-on experience building and deploying AI, NLP, or generative AI solutions, including large language models (LLMs).
Experience with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.)
Experience in Pharmaceutical Product Development, including Chemistry, Manufacturing and Controls (CMC)
Experience with retrieval-augmented generation, embeddings, vector databases, and model evaluation.
Strong proficiency in Python
Familiarity with responsible AI frameworks, content safety practices, and AI governance in regulated environments.
Degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.

Tools in this posting

  • Python
Source — Tool mentions in context
- 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.

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier listing.

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Live
First seen by us
Oct 16, 2026 · 6 days ago
Recorded sightings
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Last seen by us
Oct 23, 2026

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Job description

View original posting ↗

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 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.


#JRDDS

#JNJDataScience

JNJIMRND-DS

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 Analysis

 

 

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.



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
Source details

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Pay
The anticipated base pay range for this position is : $117,000.00 - $201,250.00 Additional Description for Pay Transparency:
Location & working pattern

Spring House, Pennsylvania, United States of America

Working pattern and location restrictions need checking in the full posting.

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