Principal Scientist, Data Science; Translational Engineering

Position Summary

Design and implement semantic/knowledge architecture enabling AI-driven reasoning across the drug discovery and development lifecycle.

Build the semantic foundation for AI systems to reason across discovery, preclinical, clinical, and post-marketing domains while preserving scientific meaning, provenance, and translational fidelity.

• Semantic Architecture & Knowledge Modeling:
  Design/maintain enterprise knowledge models (discovery biology, toxicology, safety pharmacology, pathology, clinical development, pharmacovigilance, real-world evidence); create conceptual/logical/physical models for AI-enabled discovery.
• Ontology Engineering & Governance:
  Lead ontology strategy, development, governance, lifecycle management; curate/extend biomedical ontologies; establish governance/quality/semantic review; ensure consistency, provenance/traceability, and FAIR principles.
• Knowledge Graph & Reasoning Infrastructure:
  Build RDF-based knowledge graph architectures; develop semantic mappings/inference rules/reasoning frameworks; enable GraphRAG, semantic retrieval, AI agents, reasoning; ensure semantic interoperability.
• Translational Data Harmonization:
  Create semantic bridges across SEND, SDTM, ADaM, MedDRA, HPO, MONDO, SNOMED CT, FHIR, OMOP, Cell Ontology, Protein Ontology.
• Cross-Functional Leadership:
  Partner with stakeholders and engineering/platform teams; influence enterprise semantic strategy.

• PhD or Master’s in Biomedical Informatics, Bioinformatics, Computational Biology, Computer Science, Information Science, Knowledge Engineering, or related.
• 5+ years in biomedical informatics/semantic technologies/knowledge engineering/scientific data architecture.
• Experience designing ontology-driven systems in life sciences/healthcare/pharma R&D; across multiple drug discovery/development phases.
• Technical: ontology development/governance; knowledge representation; RDF/OWL/SHACL/SPARQL; semantic web technologies; enterprise ontology platforms; RDF graph architectures; semantic APIs; FAIR.
• Domain: familiarity with translational science/toxicology/safety pharmacology/clinical development/pharmacovigilance/regulatory standards; experience with SEND/SDTM/ADaM/MedDRA/HPO/MONDO/FHIR/OMOP.

• Experience building semantic foundations for AI/GraphRAG/agentic AI/scientific reasoning; LLM-based retrieval/reasoning; translational safety/efficacy/biomarker/mechanistic reasoning use cases; contributions to ontology standards/open-source ontologies/knowledge graph initiatives.

• Vacation: 120 hours/year
• Sick time: 40 hours/year (CO: 48; WA: 56)
• Holiday pay including floating holidays: 13 days/year
• Work/Personal/Family time: up to 40 hours/year
• Parental leave: 480 hours
• Bereavement leave
• Caregiver leave
• Volunteer leave
• Military spouse time-off