Computational Data Modeler - AMEA
Core
Designing reusable data and knowledge structures to make complex scientific information interoperable, discoverable, and AI-ready for Crop Protection R&D.
Role type
Senior IC computational data modeler (ontology & knowledge engineering)
Builds
Reusable data schemas, knowledge graph foundations, and AI-ready data layers for R&D ecosystems
Domain
Agri-tech / Crop Protection R&D / Knowledge Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
computational data modeling, semantic modeling, ontology principles, knowledge graph design, RAG architecture, Python/R, SQL, data engineering, interoperability design
Preferred skills
bioinformatics background, experience with retrieval-augmented generation, matrix environment collaboration
Technologies
Python, R, SQL, Knowledge Graphs, RAG
Responsibilities
Design computational data models and reusable schemas to improve interoperability across R&D systems; Develop context-rich data models connecting scientific data, metadata, and domain concepts; Apply ontology principles to define consistent concepts and machine-readable rules; Enable Retrieval-Augmented Generation (RAG) by improving retrieval structures and contextual linkages; Collaborate with Data Scientists and Bioinformatics leads to ensure solutions are built on scalable data foundations; Document modeling standards, ontologies, and schemas to support consistent adoption across teams
Seniority
Senior, hands-on IC
