Johnson & Johnson Innovative Medicine
Ontology Developer, R&D Data Science & Digital Health - Data Strategy and Platfo
Johnson & Johnson Innovative Medicine, Titusville, New Jersey, us, 08560
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 the role is also flexible to Titusville, NJ; Spring House, PA; or Cambridge, MA.
Job Overview Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Engineers here work on teams that save lives by developing the medicines of tomorrow. This role combines hands‑on ontology engineering with product thinking, partnering closely with governance, knowledge management, and domain stakeholders.
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.
Qualifications
Desired Ph.D. or master’s degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasizing 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 and familiarity with graph databases (Neo4j, Amazon Neptune, GraphDB).
Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, 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 customer focus, networking, communication, and presentation skills.
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.
Compensation & Benefits Base salary range: $146,200 – $197,800 USD per year.
Employees and eligible dependents are eligible for company‑sponsored medical, dental, vision, life insurance, disability, accident insurance, and group legal insurance. Participation in the company’s consolidated retirement plan (401(k)), long‑term incentive program, and various time‑off benefits is also offered.
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Job Overview Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Engineers here work on teams that save lives by developing the medicines of tomorrow. This role combines hands‑on ontology engineering with product thinking, partnering closely with governance, knowledge management, and domain stakeholders.
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.
Qualifications
Desired Ph.D. or master’s degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasizing 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 and familiarity with graph databases (Neo4j, Amazon Neptune, GraphDB).
Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, 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 customer focus, networking, communication, and presentation skills.
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.
Compensation & Benefits Base salary range: $146,200 – $197,800 USD per year.
Employees and eligible dependents are eligible for company‑sponsored medical, dental, vision, life insurance, disability, accident insurance, and group legal insurance. Participation in the company’s consolidated retirement plan (401(k)), long‑term incentive program, and various time‑off benefits is also offered.
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