Johnson & Johnson Posted October 28, 2026

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

Spring House, United States Full time
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About this opportunity

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:

Madrid, Spain, Spring House, Pennsylvania, United States of America, Turnhout, Antwerp, Belgium

Job Description:

POSITION SUMMARY

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 across Product Development, Manufacturing, Clinical Supply Chain, Quality, and Digital and Data Science teams to develop 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. Working 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. A successful candidate combines practical AI development skills with an understanding of pharmaceutical CMC development and seeks technical input on complex design decisions, risks, and delivery challenges.

KEY RESPONSIBILITIES

AI Solution Development & Delivery

Develop, test, and support deployment of AI solutions for documentation, knowledge retrieval, evidence synthesis, and decision support in the TDS ecosystem, with guidance on solution design and implementation.

Build and test defined components of agentic AI workflows that coordinate 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 AI solution requirements and implementations for regulated environments.

Technical Rigor & Responsible AI

Apply established evaluation frameworks for LLM systems, 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, with guidance on identifying and escalating risks.

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.

Cross-Functional Collaboration

Work with regulatory, quality, CMC, scientific, and technical stakeholders to clarify use-case 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.

QUALIFICATIONS

Required

Degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.

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, with the ability to explain technical topics to non-technical stakeholders.

Preferred

Exposure to open-source agentic frameworks (e.g., LangGraph, DSPy, 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.

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, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

The anticipated base pay range for this position is :

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

Job details

Seniority
Senior
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Spring House, United States
Employment type
Full time

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 163 comparable Senior Biostatistics & Data Science roles across 30 biopharma companies.

163Comparable roles tracked
143Currently active
30Companies hiring similar roles
19Countries represented

Salary context

68 of 163 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Lowest disclosed · Sr. Computational Statistician · Lilly $69,000/yr – $195,800/yr
Highest disclosed · Biostatistics Associate Director (HYBRID) · Vertex Pharmaceuticals Inc (US) $174,800/yr – $262,200/yr
Peer group range $132,400 – $218,500 (median $188,013)

Where these roles are based

Top locations among the 163 comparable roles

United States96
India13
United Kingdom11
Spain7
China5
Germany4

+ 13 more countries

Seniority mix

163 of 163 peers have a known seniority level

Senior79
Principal44
Associate Director40

Therapeutic area mix

14 of 163 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Immunology8
Oncology3
Cardiovascular / CVRM1
Ophthalmology1
Rare Disease1

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.