21 of 21 Ontologies Jobs in the Midlands

marketplace through presentations, training, and stakeholder sessions. What you'll bring: Experience of working in the pharmaceutical industry Strong foundation in information science, metadata, ontologies, and FAIR data principles. Experience in product management and agile environments. Awareness of emerging tech, including agentic AI and LLMs. A collaborative style with confident ...

marketplace through presentations, training, and stakeholder sessions. What you'll bring: Experience of working in the pharmaceutical industry Strong foundation in information science, metadata, ontologies, and FAIR data principles. Experience in product management and agile environments. Awareness of emerging tech, including agentic AI and LLMs. A collaborative style with confident ...

marketplace through presentations, training, and stakeholder sessions. What you'll bring: Experience of working in the pharmaceutical industry Strong foundation in information science, metadata, ontologies, and FAIR data principles. Experience in product management and agile environments. Awareness of emerging tech, including agentic AI and LLMs. A collaborative style with confident ...

marketplace through presentations, training, and stakeholder sessions. What you'll bring: Experience of working in the pharmaceutical industry Strong foundation in information science, metadata, ontologies, and FAIR data principles. Experience in product management and agile environments. Awareness of emerging tech, including agentic AI and LLMs. A collaborative style with confident ...

marketplace through presentations, training, and stakeholder sessions. What you'll bring: Experience of working in the pharmaceutical industry Strong foundation in information science, metadata, ontologies, and FAIR data principles. Experience in product management and agile environments. Awareness of emerging tech, including agentic AI and LLMs. A collaborative style with confident ...

marketplace through presentations, training, and stakeholder sessions. What you'll bring: Experience of working in the pharmaceutical industry Strong foundation in information science, metadata, ontologies, and FAIR data principles. Experience in product management and agile environments. Awareness of emerging tech, including agentic AI and LLMs. A collaborative style with confident ...

marketplace through presentations, training, and stakeholder sessions. What you'll bring: Experience of working in the pharmaceutical industry Strong foundation in information science, metadata, ontologies, and FAIR data principles. Experience in product management and agile environments. Awareness of emerging tech, including agentic AI and LLMs. A collaborative style with confident ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

best query the new data. Required Skills Technical & Domain Expertise: Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...