Senior Data Scientist, AI for Pharma R&D

Johnson & Johnson Co.

Madrid

On-site

EUR 56,000 - 89,000

Full time

3 days ago
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Benefits offered by this job

Vacation days
Parental leave
Bereavement leave
Caregiver leave
Volunteer leave
Well-being reimbursement
Insurance programs

Job summary

Johnson & Johnson is seeking a Senior Scientist, Data Science to design, develop, evaluate and deploy AI systems that accelerate regulatory and technical workflows across Therapeutics Development & Supply. This hands-on role partners with product, manufacturing, quality, and data teams to build LLM applications and agentic automation in regulated environments.

You will contribute to risk-aware AI practices, implement reusable components, and deliver solutions that improve scientific decision

Qualifications

  • Degree in Engineering, Data Science, Life Sciences, Computer Science or related field.
  • 1–3 years hands‑on AI/ML/NLP development experience with LLMs.
  • Working knowledge of Pharmaceutical Product Development (CMC).
  • Proficiency in Python with ability to test and document code.
  • Strong communication to explain technical topics to non‑technical stakeholders.

Responsibilities

  • Develop, test, and deploy AI solutions for documentation, retrieval, evidence synthesis, and decision support.
  • Build and test components of agentic AI workflows across multi‑step scientific processes.
  • Apply software engineering practices with documentation and lifecycle management.
  • Collaborate with regulatory, quality, CMC, and scientific teams to translate needs into AI solutions.

Skills

AI/ML development
NLP
Communication skills
Regulated environments awareness

Education

Degree in Engineering/Data Science/CS or related
Advanced degree preferred

Tools

LangGraph
DSPy
mem0

Job description

Johnson & Johnson is seeking a Senior Scientist, Data Science to design, develop, evaluate and deploy AI systems that accelerate regulatory and technical workflows across Therapeutics Development & Supply. This hands-on role partners with product, manufacturing, quality, and data teams to build LLM applications and agentic automation in regulated environments.

You will contribute to risk-aware AI practices, implement reusable components, and deliver solutions that improve scientific decision

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