Ontology Developer, R&D Data Science & Digital Health Data Strategy and Platforms

Johnson & Johnson Innovative Medicine is recruiting for an Ontology 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.

Learn more at Responsibilities

Johnson and Johnson Innovative Medicine is recruiting for an Ontology Developer Data Strategy and Products to design build and govern the semantic backbone that connects data across pharmaceutical life cycle. Youll 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 from subject-matter experts into OWL/RDF classes and properties SKOS vocabularies and SHACL constraints and publish validated versioned packages and APIs for broad reuse.

• Develop and maintain ontologies representing domain-specific knowledge in healthcare and life sciences for drug discovery

• Own the ontology roadmap for key domains define scope use cases and success metrics; align with internal canonical models and relevant W3C/domain standards.

• Model and govern the ontology using (OWL RDFS SKOS SHACL); capture provenance and maintain SPARQL queries with validation.

• Define and enforce standardsmodeling guidelines naming/versioning change control releases/deprecationsand partner with enterprise governance/tooling teams to embed reusable patterns for product teams and consumers.

• Implement data quality checks (coverage conformance unit/ID normalization) and contribute to validation reports.

Job Qualifications

• Desired Ph.D. or masters degree in bioengineering computer science IT bioinformatics physics mathematics or related fields emphasis on semantic technologies and biomedical application.

• 3-5 years of hands-on ontology/knowledge modeling taxonomy design and metadata standards.

• Proficiency with OWL RDF(S) SKOS SHACL SPARQL ontology design patterns and reasoning concepts.

• Demonstrated experience in large-scale knowledge graphs construction ontology development pharmaceutical or healthcare domains integration.

• 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.

• Proven record leading improvement initiatives with multi-disciplinary and remote partners.

• Excellent skills in customer focus networking communication presentation

• Demonstrated agile decision-making performance management continuous learning and commitment to quality.

• Ability to multi-task prioritize work exhibit organizational skills and flexibility to deliver maximum business value.

• Capacity to translate discussions into user requirements and project plans.

• Willingness to travel less than 25% to conferences and internal meetings.

#JRDDS #JNJDataScience