Translational AI & Knowledge Graph Lead (Data Science)

Biopharma Careers; North Carolina; Hybrid; USD 117,000 - 201,000; Full time

Job summary

Johnson & Johnson’s Innovative Medicine division seeks a Principal Translational Knowledge Architect & Graph Lead to design semantic and knowledge architecture enabling AI-driven reasoning across drug discovery and development. Lead ontology strategy, governance, and RDF-based knowledge graphs to connect discovery biology, safety, clinical development, and post-marketing data.

Collaborate with scientists, AI engineers, and platform teams to create knowledge assets supporting GraphRAG, agentic

Qualifications

• PhD or Master’s degree in Biomedical Informatics, Bioinformatics, Computational Biology, Computer Science, Information Science, Knowledge Engineering or related scientific discipline.
• 5+ years of experience in biomedical informatics, semantic technologies, knowledge engineering, or scientific data architecture.
• Demonstrated experience designing ontology-driven knowledge systems in life sciences, healthcare, or pharmaceutical R&D environments.
• Experience working across multiple phases of drug discovery and development.

Responsibilities

• Design and maintain enterprise knowledge models spanning discovery biology, toxicology, safety pharmacology, pathology, clinical development, pharmacovigilance, and real-world evidence.
• Lead ontology strategy, development, governance, and lifecycle management.
• Curate and extend biomedical ontologies supporting translational safety and efficacy use cases.
• Establish ontology governance processes, quality standards, and semantic review procedures.
• Ensure semantic consistency, provenance, traceability, and FAIR data principles.
• Design RDF-based knowledge graph architectures and related semantic technologies.
• Develop semantic mappings, inference rules, and reasoning frameworks supporting scientific decision-making.
• Define knowledge representations enabling GraphRAG, semantic retrieval, AI agents, and reasoning systems.
• Establish semantic interoperability across heterogeneous data sources and standards.
• Develop semantic bridges across SEND, SDTM, ADaM, MedDRA, HPO, MONDO, SNOMED CT, FHIR, OMOP, Cell Ontology and Protein Ontology.
• Partner with stakeholders across Discovery, Preclinical Safety, Clinical Development, Pharmacovigilance, Data Science, and Digital Health.
• Collaborate with engineering teams responsible for data products, pipelines, and AI platforms.
• Influence enterprise semantic strategy and represent the organization in external standards and ontology communities.
• Familiarity with LLM-based retrieval and reasoning architectures; experience building semantic foundations for AI, GraphRAG, agentic AI.

Skills

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

Education

Biomedical Informatics

Bioinformatics

Computational Biology

Computer Science

Information Science

Knowledge Engineering

Related scientific discipline

Job description

Johnson & Johnson’s Innovative Medicine division seeks a Principal Translational Knowledge Architect & Graph Lead to design semantic and knowledge architecture enabling AI-driven reasoning across drug discovery and development. Lead ontology strategy, governance, and RDF-based knowledge graphs to connect discovery biology, safety, clinical development, and post-marketing data.

Collaborate with scientists, AI engineers, and platform teams to create knowledge assets supporting GraphRAG, agentic