Senior Scientist, Data Science

About the role

The R&D Data Science organization is looking for a Senior Scientist, Data Science to help design, develop, evaluate and deploy AI and generative AI systems that speed up scientific, regulatory and technical workflows in Therapeutics Development & Supply (TDS). The role is a hands-on individual contributor working across Product Development, Manufacturing, Clinical Supply Chain, Quality and Digital and Data Science teams to build LLM applications, agentic workflows and AI-driven automation. It is listed for Madrid, Spain and Turnhout/Antwerp, Belgium.

Key responsibilities

• Develop, test and support deployment of AI solutions for documentation, knowledge retrieval, evidence synthesis and decision support in the TDS ecosystem.
• Build and test components of agentic AI workflows that coordinate models, tools, data and human review across multi-step scientific and supply chain processes.
• Implement reusable AI capabilities using established DDSAI AI/ML architectures and platform standards.
• Work with stakeholders to turn defined needs into AI solution requirements and implementations for regulated environments.
• Apply evaluation frameworks for LLM systems (rubrics, traceability, robustness, uncertainty, usability) and follow responsible AI practices such as human-in-the-loop validation, risk assessment and content safety.
• Follow software engineering practices including modular design, testing, documentation and code review.
• Collaborate with regulatory, quality, CMC, scientific and technical stakeholders and communicate progress, results, limitations and risks.

Required profile

• Degree in Engineering, Data Science, Life Sciences, Computer Science or a related field; advanced degree preferred.
• 1-3 years of hands-on experience developing AI, NLP or machine learning solutions, including practical experience with large language models (LLMs).
• Working knowledge of Pharmaceutical Product Development, including Chemistry, Manufacturing and Controls (CMC).
• Strong communication skills, able to explain technical topics to non-technical stakeholders.

Required skills

• Proficiency in Python, with experience developing, testing and documenting code.
• Preferred: exposure to open-source agentic frameworks (e.g. LangGraph, DSPy, mem0).
• Preferred: familiarity with retrieval-augmented generation, embeddings, vector databases and model evaluation.
• Preferred: experience in regulated environments (GxP) and responsible AI frameworks.

What we offer

• Base pay range of EUR 56,000 to EUR 88,780.
• An annual bonus depending on pay grade and location, plus vacation days, parental leave of at least 12 weeks, bereavement and caregiver leave, well-being reimbursement and health programs.
• Service anniversary and recognition awards, and optional insurance plans for eligible dependents.