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As of Sep 12, 2026, the average yearly pay for knowledge translation lead in the United States is $96,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $112,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Knowledge Translation Lead job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $96,954 per year, or $46.6 per hour.

Principal Scientist, Data Science (Translational Knowledge Engineering)

Cambridge, MA • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

Other

PTO

Posted 14 days ago

Job description

Position Summary

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

Mission

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.

Key Responsibilities
  • 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.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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.
Benefits (time off)
  • 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
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