1 to 25 of 99 Ontologies Jobs

team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will ...

Networks department. The role holder will take ownership of Threes data architecture framework. This will include managing data through the relevantmodels, data standards and ontologies and the alignment to the delivery of dataquality, data improvement and data governance initiatives. The EDA will managethe definition and implementation of an enterprise data ...

similar. Experience with lab informatics (ELN, LIMS, SDMS, CDS, LES, MES) and/or lab automation (OPC UA, SiLA2). Familiarity with data standards, ontologies, FAIR frameworks, and knowledge graphs. Proven track record delivering complex, multi-stakeholder products. Comfortable with APIs, data schemas, and cloud-native architectures. Experience in regulated ...

projects. Key Highlights: Lead strategy and engineering for Palantir Foundry adoption Mentor engineers and influence data architecture across high-consequence programmes Build and optimise ontologies, pipelines, and semantic models Apply strong data engineering skills (Python, SQL, PySpark) Bring cloud expertise (AWS, Azure, or GCP) and proven team leadership ...

inference platform for scalable management and execution of data-inferencing based on semantic models and user-defined rules to enrich raw datasets. Our ontology-based inferencing will also enable context-aware query and discovery, allowing users to explore implicit relationships and linked data patterns within Bloomberg's enterprise knowledge graph. ...

complementary patent resource containing chemical structures extracted from patents daily. UniChem links chemical structures across databases. ChEBI is a highly curated database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The Technical Lead is part of the leadership team in the group, which ...

complementary patent resource containing chemical structures extracted from patents daily. UniChem links chemical structures across databases. ChEBI is a highly curated database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The Technical Lead is part of the leadership team in the group, which ...

frameworks, retrieval-augmented generation (RAG), and fine-tuning techniques. Experience with responsible AI frameworks or compliance-sensitive software. Background working with structured legal data, ontologies, or knowledge graphs. Success Indicators Launches AI features that materially improve legal team productivity and accuracy. Drives measurable adoption and customer satisfaction among legal professionals. ...

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. ...

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. ...