Johnson & Johnson Innovative Medicine is looking to build and govern the semantic backbone that connects data across the pharmaceutical life cycle to power interoperability, search and discovery, analytics, and AI/ML.
Requirements
- 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).
Responsibilities
- 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 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.
- Implement data quality checks (coverage, conformance, unit/ID normalization) and contribute to validation reports.
Other
- 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.
