Description
- Fluently translate natural language and business jargon into precise, complex knowledge representations
- Create, build and deploy ontologies, taxonomies, models and other structures to identify and fill knowledge gaps in the representation of firm assets, products, services, relations, and processes
- Experience in taxonomy development and using taxonomy management systems to maintain categories, attributes, and metadata
- Experience in of RDF/OWL and other ontology languages
- Experience with triple stores, graphs, document stores and other No-SQL databases
- Proficiency in data analysis, semantic modelling, knowledge and ontology engineering
- Experience in using Protégé for ontology creation, management and deployment
- Develop cutting edge information and knowledge management solutions by working closely with the subject matter experts to define data elements and consolidate taxonomy terms that are consistent with corporate knowledge representation
- Integrate unstructured, semi-structured, and well-structured data
- Monitor and apply industry standardization initiatives
- Experience in creating and maintaining complex domain information models
- Experience working in or supporting a Pharmaceutical/Life Science function is highly desirable. Expert data engineer (MS SQL, NoSQL, REST APIs, JSON, etc.)
Due to the ongoing situation, you are expected to work remotely.