Principal Scientist, DSCS Digital Technologies–Laboratory Automation, Semantic Technologies & Scientific Data

How You’ll Make An Impact

• Develop automation systems integrating robotics, instrumentation, equipment, and software into cohesive solutions.
• Partner with researchers to translate experimental needs into scalable digital workflows.
• Collaborate across automation, data science, modeling, IT, knowledge capture, and CMC.
• Lead projects from concept through deployment; improve existing automation platforms.
• Integrate instrument/equipment platforms with semantic context and data systems for end-to-end workflows.
• Provide hands‑on partnership, support, troubleshooting, and training to scientists.

• Ph.D. (Chemistry/Biochemistry/Engineering/Physics/Biology/Pharmaceutical Sciences/Computer Science/Material Science or related) + 6 years.
• M.S. in related field + 8 years.
• B.S. in related field + 10 years.

• Knowledge of (bio) pharmaceutical process/product/analytical development.
• Entrepreneurial, independent work on cross‑functional teams.
• Understanding of ontologies/taxonomies/controlled vocabularies, metadata, semantic data.
• Knowledge of ontology design, FAIR, data/metadata standards, semantic modeling, knowledge representation.
• Experience enabling AI‑ready data via semantic technologies and data integration.
• Integrate heterogeneous scientific data; strong communication; deliver under compressed timelines.

• Ontology development/management (Life Science); OWL/RDF/Protégé; reasoning.
• Familiarity with RDF/OWL/SPARQL/SKOS; knowledge graphs;
  Allotrope/CDISC.

Salary range: $173,200–$272,600. Benefits include medical/dental/vision, 401(k), paid time off.