Position Details
About this role
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.
Key Responsibilities
- Model ontology modules
- Translate domain knowledge
- Develop semantic standards
- Power knowledge graphs
- Collaborate with stakeholders
Technical Overview
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.
Ideal Candidate
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.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
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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