Life Sciences Knowledge Graph Architect

Xebia is seeking a Scientific Knowledge Engineer to maximize the value of data assets through effective data modeling. The role focuses on translating complex scientific information into data models, ensuring quality control, and collaborating with product teams.

The ideal candidate holds a Masters degree and has over 6 years of experience in knowledge graph development, with proficiency in ontology tools like Protégé and programming skills in Python. Join a dedicated team in a culture that places ‘People First’.