The Computational Data Modeler plays a critical role in strengthening Crop Protection R&D by designing reusable data and knowledge structures that make complex scientific information interoperable, discoverable, and AI‑ready. By translating domain complexity into robust computational models and knowledge foundations, the role enables predictive data analytics, scalable digital products, and next‑generation AI solutions across the region – AMEA & JANZ



Accountabilities:

Data Engineering and Computational Modelling

• Design computational data models, reusable schemas, and structured data frameworks that improve interoperability, consistency, and machine usability across the R&D data ecosystem.
• Define reusable entity structures, metadata patterns, relationships, and data contracts that support integration across experimentation systems, analytics environments, and digital product...