Scientific Knowledge Engineer, Ontology (España)

Scientific Knowledge Engineer, Ontology (España)

30 jul
|
Xebia
|
España

30 jul

Xebia

España

Scientific Knowledge Engineer, Ontology & Data Modeling
This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary – that can be utilized to effectively structure and index the data. Specifically, the engineer works with Product managers and R&D; subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of the "Knowledge base" and the interoperability/value of the asset.
Key Responsibilities
- Definition of schemas/ontology and data models of scientific information required for the creation of value‑adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform‑provisioned tooling.
- Accountable for the quality control (through validation and verification)



of mapping specifications to be industrialized by data engineering and maintained in platform‑provisioned tooling – e.g., models, schemas, controlled vocab.
- Working with Product managers/engineers confidently converting business needs into defined deliverable business requirements to enable the integration of large‑scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery.
- Collaborate with external groups to align data standards with industry/academic ontologies ensuring that data standards are defined with usage/analytics in mind.
- Provide bespoke subject‑matter expertise for R&D; data to translate deep science into data for actionable insights.
- Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability.

Basic Qualifica

📌 Scientific Knowledge Engineer, Ontology (España)
🏢 Xebia
📍 España

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