Senior Scientist, Data Science

Posted Yesterday
Be an Early Applicant
2 Locations
Hybrid
56K-89K Annually
Senior level
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Develop and deploy AI and generative AI solutions for pharmaceutical development and supply workflows. Build LLM, retrieval-augmented generation, and agentic AI applications for scientific documentation, knowledge synthesis, decision support, and workflow automation. Evaluate systems for robustness, traceability, safety, and usability while applying software engineering and responsible AI practices. Collaborate with regulatory, quality, CMC, scientific, and technical stakeholders in regulated environments.
Summary Generated by Built In

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.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):



Belgium R-108704, Spain R-106736

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.



Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Madrid, Spain, 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.


#LI-GR

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD



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:

€56,000.00 - €88,780.00

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.


*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

Skills Required

  • Degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field
  • Advanced degree
  • 1-3 years of hands-on experience developing AI, NLP, or machine learning solutions
  • Practical experience applying large language models
  • Working knowledge of pharmaceutical product development, including Chemistry, Manufacturing and Controls (CMC)
  • Proficiency in Python, including developing, testing, and documenting code
  • Strong communication skills and ability to explain technical topics to non-technical stakeholders
  • 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 regulated environments such as 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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: New Brunswick, NJ
143,612 Employees
Year Founded: 1886

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

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