Senior Ontologist, Biologics Discovery

Johnson & Johnson

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Spring House, PATitusville, NJRaritan, NJBeerse, Antwerp, BelgiumMadrid, Spain
Salary
$109,000–$174,800 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $142k
$92k most similar roles pay here $270k

This role pays less than 84% of similar roles. Most pay $159,125–$241,750 — the shaded band above. At the midpoint, this role pays about $142k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 71 open roles on FindRole.

Listed pay typically runs $109,000–$177,100 across 65 roles with salary data.

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At a glance

TL;DR · Senior Ontologist, Biologics Discovery

The Senior Ontologist, Biologics Discovery serves as a cross-functional catalyst within the Biologics Discovery organization to establish a robust semantic foundation for complex datasets. This role involves designing, building, and governing ontology modules, controlled vocabularies, and mappings to ensure data from antibody engineering, protein design, and assay metadata are interoperable and AI-ready. The successful candidate will translate intricate scientific concepts into machine-readable formats using OWL, RDF(S), SKOS, SHACL, and SPARQL while managing versioned assets for knowledge graphs and automated pipelines. Key technical requirements include proficiency with tools like Protégé and various triple stores to support GraphRAG and agentic AI workflows. By aligning biologics semantics with enterprise standards, the role solves the problem of fragmented terminology across the molecule lifecycle, ensuring that discovery data remains navigable and actionable for both researchers and advanced computational models.

What you'll do

  • Design, build, test, and release validated ontology modules and controlled vocabularies for biologics discovery domains.
  • Translate complex scientific concepts from biologists and scientists into computable semantic models and OWL/RDF classes.
  • Publish ontology packages as API-ready assets for use in knowledge graphs, data products, and AI/ML workflows.
  • Embed semantic layers into data pipelines to enable entity linking, normalization, and automated validation.
  • Develop the semantic infrastructure required to ground agentic AI systems and GraphRAG retrieval workflows.
  • Align biologics terminology with enterprise standards to ensure seamless data integration across the molecule lifecycle.
  • Collaborate with cross-functional teams to establish shared semantic standards for manufacturing, quality, and product data.
  • Drive consensus among scientific and informatics teams on ontology scope, definitions, and adoption rules.

What we're looking for

  • Advanced degree in Biomedical Informatics, Computational Biology, Bioinformatics, Data Science, Computer Science, or a related field.
  • 3+ years of experience in ontology engineering, knowledge modeling, taxonomy design, semantic standards, or knowledge graph development.
  • Hands-on experience with versioning, change management, validation, and release workflows for ontology assets.
  • Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, and ontology design patterns.
  • Experience with graph/semantic technologies such as Neo4j, GraphDB, Amazon Neptune, Stardog, Protégé, or RDF triple stores.
  • Ability to translate scientific discussions into semantic models and align semantics across cross-functional teams.
  • Working knowledge of how ontologies and knowledge graphs ground AI and agentic retrieval systems like RAG or GraphRAG.
  • Experience in biologics, antibody design, protein engineering, or pharma/biotech environments (preferred).

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