Principal Scientist, DSCS Digital Technologies–Laboratory Automation, Semantic Technologies & Scientific Data Integration
Core
Designing and deploying ontology-driven semantic technologies and knowledge graph frameworks to integrate heterogeneous scientific data, enabling AI-ready ecosystems for pharmaceutical development.
Role type
Principal Scientist, Semantic Technologies & Data Integration
Builds
Semantic models, ontologies, knowledge graph frameworks, and FAIR data ecosystems for biologics, vaccines, and small molecules.
Domain
Life Sciences / Pharmaceutical R&D / Semantic Web
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Ontology development, semantic modeling, knowledge representation, scientific data integration, metadata strategy, FAIR principles, data engineering, cross-functional leadership, CMC process understanding, heterogeneous data source integration.
Preferred skills
OWL/RDF/SPARQL proficiency, knowledge graph architecture, life-science data standards (Allotrope/CDISC), AI/ML concepts, wet lab experience in drug development.
Technologies
OWL, RDF, Protégé, SPARQL, SKOS, Allotrope, CDISC
Responsibilities
Design automation systems integrating robotics and software; translate experimental needs into scalable digital workflows; lead projects from concept to deployment; improve automation platform performance; connect instrument platforms with semantic context; provide hands-on support and training to scientists.
Seniority
Principal, hands-on IC with strategic impact
