Senior Biologics Ontologist for Semantic Data & AI

Johnson Johnson; Pennsylvania; On-site; USD 109,000 - 175,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks a Senior Ontologist to design, build, test, publish, and govern semantic models enabling knowledge graphs, analytics, and AI/ML across biologics workflows. You will partner with biologists, computational biologists, data scientists, and IT to translate complex biology into reusable ontology modules and establish enterprise semantic standards.

You will embed semantic layers into data pipelines, support provenance, and enable advanced search and

Qualifications

• Advanced degree required in a relevant field (see qualifications).
• Experience with ontology engineering, knowledge modeling, or knowledge graphs is required.
• Strong communication and cross-functional collaboration skills are essential.

Responsibilities

• Design, build, test, publish, and govern semantic models for knowledge graphs and AI/ML workflows.
• Partner with scientists, data engineers, and IT to capture domain semantics and translate into ontology modules.
• Express concepts as OWL/RDF, SKOS vocabularies, and SHACL constraints; establish semantic standards across data products.
• Ensure interoperability, provenance, and reuse across discovery data assets.

Skills

Advanced analytics

BI/Data visualization

Collaboration

Critical thinking

Data analysis

Data governance

Education

Advanced degree in Biomedical Informatics/Computational Biology/Bioinformatics/Data Science/CS

Tools

Neo4j

GraphDB

Amazon Neptune

Stardog

Protégé

RDF triple stores

Job description

Johnson & Johnson Innovative Medicine seeks a Senior Ontologist to design, build, test, publish, and govern semantic models enabling knowledge graphs, analytics, and AI/ML across biologics workflows. You will partner with biologists, computational biologists, data scientists, and IT to translate complex biology into reusable ontology modules and establish enterprise semantic standards.

You will embed semantic layers into data pipelines, support provenance, and enable advanced search and