Senior Scientist, Data Science

About the role

Johnson & Johnson Innovative Medicine is recruiting a Senior Scientist, Data Science for its R&D Data Science organization, focused on data product engineering. The role builds and maintains scalable data pipelines, data integration workflows and AI-ready data products that support analytics, AI/ML applications and digital transformation across the development-to-supply continuum for Therapeutics Development & Supply (TDS). The primary location is either Beerse, Belgium or Madrid, Spain, and the role is hybrid.

Key responsibilities

• Build and maintain data pipelines that integrate, clean and transform TDS data from ELNs, MES, LIMS, SAP, quality systems and clinical supply platforms into reusable, governed data products.
• Develop and optimize data flows for structured and unstructured data using Python, SQL, cloud services and modern engineering tools.
• Contribute to AI-ready data products by keeping data well-structured, versioned, traceable and semantically aligned with enterprise standards.
• Maintain semantic mappings and semantic layers, and prepare unstructured content for AI retrieval through extraction, chunking, embedding generation and vector indexing.
• Support knowledge graphs by turning source data into entities and relationships, with ingestion and quality checks.
• Partner with data scientists and ML engineers, and support metadata management, data cataloging and lineage documentation.
• Implement data quality checks, follow software development best practices (version control, code review, testing, CI/CD) and support data governance and compliance.

Required profile

• Advanced degree in Engineering, Data Science, Life Sciences, Computer Science or a related field.
• 1-3 years of experience in data product engineering, data integration or data pipeline development.
• Strong problem-solving skills and ability to work across multiple concurrent projects.

Required skills

• Proficiency in Python and SQL; familiarity with cloud platforms such as AWS or Snowflake.
• Understanding of data modeling, ETL/ELT patterns and data quality principles.
• Experience with knowledge graphs, graph databases or RDF triple stores (Neo4j, Amazon Neptune, GraphDB).
• Preferred: NoSQL databases, scientific/manufacturing/healthcare data environments, regulated data standards (CDISC, HL7, ISA-88/95), workflow orchestration tools, semantic models and ontologies, embedding and vector indexing, Cypher or SPARQL.

What we offer

• Base pay range of EUR 56,000 to EUR 88,780.
• Annual bonus, 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.