Johnson & Johnson Innovative Medicine is looking to build and govern a semantic backbone that connects data across the pharmaceutical lifecycle 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.
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).
Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration.
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
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.
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.
