Principal Scientist R&D DSDH Ontology Developer TDS Therapeutics Development & Supply (TDS)
Job Summary
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .
As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Beerse Antwerp Belgium Cornellà de Llobregat Barcelona Spain Madrid SpainJob Description:
Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist - R&D DSDH Ontology Developer TDS Therapeutics Development & Supply (TDS)
The primary location for this position is open toSpring House PA; Cambridge MA; Beerse Belgium; Madrid Spain; or Barcelona Spain.
Candidate Interested in our US based locations please apply to: R-067846
J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology immunology neuroscience cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit SUMMARY
The R&D Data Science organization is recruiting for a Principal Data Scientist Ontology Developer TDS to design build and govern the semantic frameworks that unify data across the developmenttodelivery lifecycle for Therapeutics Development & Supply (TDS). You will translate scientific technical and operational concepts into wellstructured ontologies controlled vocabularies and semantic models that enable interoperability analytics automation and AI/ML applications across TDS.
This role combines handson ontology engineering with product-oriented thinking partnering closely with domain experts in Process Development Manufacturing Quality Supply Chain and Data Science teams. You will serve as a key technical contributor and creative problem solver with a strong understanding of semantic technologies and data modeling in life sciences or manufacturing domains.
Key Responsibilities
Ontology Design Development & Release
Model code test and publish ontology modules and controlled vocabularies supporting our TDS data ecosystems (e.g. process development material attributes equipment hierarchies batch and product genealogy quality signals supply chain flows).
Translate domain knowledge from SMEs into OWL/RDF classes and properties SKOS vocabularies and SHACL constraints following patterns from established ontology engineering practices.
Produce validated versioned semantic models and APIready outputs for integration into enterprise platforms.
Build mappings to enterprise canonical models regulatory standards and crossfunctional ontologies.
Governance Standards & Quality
Maintain accountability for components of the TDS ontology roadmapsetting scope priority use cases and success metrics.
Define and enforce modeling guidelines naming and versioning conventions change control processes and release/deprecation rules similar to R&D ontology governance frameworks.
Implement data quality checks including coverage conformance identifier normalization and provenance capture.
Produce automated validation reports and maintain SPARQL queries/tests.
Integration with Data Products Analytics & AI/ML
Ensure TDS ontologies serve as foundational assets enabling knowledge graphs data products advanced analytics and AI/ML workflowsmirroring the AIreadiness focus in technical roles.
Partner with Data Engineering and Data Architecture teams to embed semantic layers into data pipelines and metadata systems.
Support automation of classification normalization and entity linking using ML/NLP techniques.
Collaboration & CrossFunctional Engagement
Work with SMEs across Process Development Manufacturing Quality Supply Chain and Digital/Data Science to capture domain semantics and validate ontology structures.
Participate in broader enterprise communities of practice advancing data standardization interoperability and ontology reuse.
Engage stakeholders to understand business needs communicate semantic designs and ensure fitforpurpose deliveryreflecting crossfunctional expectations in data strategy roles.
Qualifications
Required
Masters degree or Ph.D. in Life Sciences Engineering Computer Science Mathematics or related field.
35 years of handson experience in ontology engineering knowledge modeling semantic standards or knowledge graph development consistent with expectations in semantic technology roles.
Proficiency with OWL RDF(S) SKOS SHACL SPARQL ontology design patterns and reasoning workflows.
Experience with graph databases (e.g. Neo4j GraphDB etc).
Strong skills in analytical problem solving requirements gathering and translating discussions with SMEs into semantic structures.
Demonstrated ability to manage multiple projects simultaneously and deliver highquality outcomes.
Preferred
Experience with biopharmaceutical development GMP manufacturing quality systems or supply chain data.
Familiarity with standards such as ISA88/95 GS1 HL7/FHIR or manufacturingoriented ontologies.
Familiarity with ML/NLP techniques for metadata extraction classification or ontology enrichment.
Understanding of enterprise data platforms metadata systems and knowledge graph architectures.
Why This Role Is Unique
This is a rare opportunity to grow in one of the worlds most ambitious and fastest-growing Pharma R&D Data Science organizations shaping how TDS data powers nextgeneration therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnsons scientific discovery fuel AI innovation and impact patients globally.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.
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Required Skills:
Preferred Skills:
Advanced Analytics Coaching Critical Thinking Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Digital Fluency Econometric Models Organizing Process Improvements Strategic Thinking Technical Credibility Workflow AnalysisRequired Experience:
Staff IC
About Company
About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more