✦ Luna Orbit — Science & Research

Senior Data Scientist- Oncology

at Johnson & Johnson

📍 5 Locations Unknown 💰 $109K – $174K USD / year Posted March 25, 2026
Salary $109K – $174K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Not specified
Category Science & Research

This role involves designing and governing ontologies and semantic standards to connect data across pharmaceutical R&D, enabling advanced analytics and AI/ML applications in oncology research.

  • Model ontology modules
  • Translate domain knowledge
  • Develop semantic standards
  • Power knowledge graphs
  • Collaborate with stakeholders

The technical scope includes ontology engineering, semantic standards, graph-based data modeling, and AI/ML frameworks, with a focus on life sciences and pharmaceutical data.

The ideal candidate is a senior data scientist with extensive experience in ontology engineering, semantic technologies, and graph-based data modeling within the life sciences or pharmaceutical domain. They are proficient in AI and ML applications and capable of leading complex data modeling projects.

Experience in ontology engineeringSemantic technologiesGraph-based data modelingLife sciences domain knowledgeAI/ML applications
Knowledge of pharmaceutical dataExperience with knowledge graphsData governance
Ontology toolsGraph databasesAI/ML frameworksSemantic standards
Data ScienceOntology EngineeringSemantic TechnologiesGraph Data ModelingAIMLKnowledge GraphsLife SciencesPharmaceutical Data
Data ScienceOntology EngineeringSemantic TechnologiesGraph Data ModelingAI/MLKnowledge GraphsData ModelingLife SciencesPharmaceutical Data
Analytical ThinkingProblem SolvingCollaborationInnovationCommunicationResearch Skills
Industry Pharmaceuticals/Healthcare
Job Function Ontology engineering and semantic data modeling for pharmaceutical research
Role Subtype Data & Analytics
Tech Domains Semantic Technologies, Graph Data Modeling, AI/ML, Knowledge Graphs
data scientistontology engineeringsemantic technologiesgraph data modelingAIMLknowledge graphslife sciencespharmaceutical datadata modeling

Lack of experience in ontology engineering, No background in semantic technologies, No experience with graph data modeling, No domain knowledge in life sciences or pharmaceuticals

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