Principal Scientist, Data Science (Translational...
Role details
Job location
Tech stack
Job description
The Principal Translational Knowledge Architect & Graph Lead will be responsible for designing and implementing the semantic and knowledge architecture that enables AI-driven reasoning across the drug discovery and development lifecycle.
This role will serve as the scientific and technical lead for ontology development, knowledge graph design, semantic interoperability, and AI-ready knowledge representation. Working at the intersection of translational science, patient safety, biomedical informatics, and artificial intelligence, this individual will help establish the semantic foundation required to connect discovery biology, preclinical safety, clinical development, real-world evidence, and post-marketing safety into a unified reasoning framework.
The successful candidate will partner closely with scientists, safety experts, data scientists, AI engineers, and platform teams to create knowledge assets that support GraphRAG, agentic AI, scientific reasoning, and next-generation translational intelligence capabilities.
Mission
Build the semantic foundation that enables AI systems to reason across discovery, preclinical, clinical, and post-marketing domains while preserving scientific meaning, provenance, and translational fidelity.
Requirements
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PhD or Master's degree in:
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Biomedical Informatics
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Bioinformatics
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Computational Biology
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Computer Science
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Information Science
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Knowledge Engineering
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Related scientific discipline
Experience
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5+ years of experience in biomedical informatics, semantic technologies, knowledge engineering, or scientific data architecture.
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Demonstrated experience designing ontology-driven knowledge systems in life sciences, healthcare, or pharmaceutical R&D environments.
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Experience working across multiple phases of drug discovery and development.
Technical Expertise
Deep expertise in:
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Ontology development and governance
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Knowledge representation
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RDF
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OWL
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SHACL
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SPARQL
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Semantic Web technologies
Strong experience with:
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Enterprise ontology management platforms
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RDF graph architectures
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Semantic APIs
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FAIR data principles, + Experience building semantic foundations for AI, GraphRAG, agentic AI, or scientific reasoning systems.
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Familiarity with LLM-based retrieval and reasoning architectures.
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Experience supporting translational safety, efficacy, biomarker, or mechanistic reasoning use cases.
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Contributions to ontology standards, open-source biomedical ontologies, or scientific knowledge graph initiatives.
Leadership Competencies
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Strategic thinker capable of translating scientific challenges into scalable knowledge architectures.
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Strong communicator who can engage effectively with scientists, clinicians, data scientists, engineers, and senior leadership.
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Ability to operate in ambiguous, highly cross-functional environments.
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Passion for advancing AI-enabled drug discovery and development through semantic and knowledge-driven approaches.
Benefits & conditions
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 Analysis
The anticipated base pay range for this position is :
$117,000.00 - $201,250.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year