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Skills

Data Quality
Artificial Intelligence
Biomedical Engineering
JSON
Pharmaceutics
Life Sciences
Ontologies
Neo4j
Modeling

Summary

Role: Senior Knowledge Graph Engineer

Duration: 12 Months

Location: Remote (For USA)

Domain Life Sciences

Basic Qualifications:

We are looking for professionals with the required skills to achieve our goals:
Masters degree in Biosciences, Biomedical Science, Biomedical Engineering, Biotechnology (with a life science/pharma application focus)
6+ years of relevant knowledge graph work experience
Specific hands-on experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, r2rml, and schema governance
Hands-on experience with open-source ontology tools and languages: Protg, SPARQL, OWL, SKOS, SHACL, RML, RDF-start
Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS
Familiarity with linked data principles and semantic web technologies
Demonstrated experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML)
Proficiency in at least one programming language preferably Python and LLM for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines

Preferred Qualifications:

If you have the following characteristics, it would be a plus:
Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt)
Experience with at least one programming language e.g. Python for scripting vocabulary mappings, building data models, etc
Experience supporting LLM integration or AI-readiness workflows including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures
Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma)
Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, Google Cloud Platform, Azure)
Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10120856
Position Id: 9041258
Posted 18 hours ago

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Ishan Chourasiya

Recruiter @ Empower Professionals

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Senior Knowledge Graph Engineer

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Ishan Chourasiya

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