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 https://www.jnj.com
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
Scientific/Technology
All Job Posting Locations:
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain
Job Description:
Johnson & Johnson Innovative Medicine is recruitingforanOntology Developer, R&D Data Science & Digital Health - Data Strategy and Platforms. The primary location is Barcelona or Madrid, Spain but is also flexible to Titusville, NJ; Spring House, PA; or Cambridge, MA.
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Johnson and Johnson Innovative Medicine is recruiting for an Ontology Developer, Data Strategy and Productsto design, build, and govern the semantic backbone that connects data across pharmaceutical life cycle. You’ll translate business concepts into well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role combines hands-on ontology engineering with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading technical contributor and creative problem solver with a strong background in semantic technologies, ontology, graph-based data modeling, and a deep understanding of the life sciences domain.
Model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications.
Translate domain knowledge fromsubject-matter experts into OWL/RDF classes and properties, SKOS vocabularies, and SHACL constraints, and publish validated, versioned packages and APIs for broad reuse.
Model and govern the ontology using (OWL, RDFS, SKOS, SHACL); capture provenance and maintain SPARQL queries with validation.
Define and enforce standards—modeling guidelines, naming/versioning, change control, releases/deprecations—and partner with enterprise governance/tooling teams to embed reusable patterns for product teams and consumers.
Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application.
Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, ontology design patterns and reasoning concepts.
Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune, GraphDB).
Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity).
Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality.
