BioAge Labs (BIOA) is finding new ways to treat disease by targeting the mechanisms of aging, with the ultimate goal of increasing healthy human lifespan. https://bioagelabs.com. Backed by a16z, Pear VC and Felicis.
About the role
We are seeking a Knowledge Graph Engineer with hands-on experience in data engineering and graph technologies to design, build, and maintain scalable knowledge graph solutions. You will translate ontologies and semantic models into production systems, develop pipelines that connect enterprise data to graph platforms, and build queries that support downstream analytics and intelligent applications. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree or higher in computer science, data engineering, AI or a related field, with 3+ years of industry experience in data engineering
- Hands-on experience with graph databases such as Neo4j, Stardog or GraphDB, including writing and optimizing queries in Cypher or SPARQL
- Working knowledge of semantic modelling concepts and standards such as RDF and OWL, and the ability to turn an ontology into a working schema
- Experience designing and building APIs (e.g. REST or GraphQL, using frameworks such as FastAPI) that give applications and users access to graph data
- Experience building data-quality or validation frameworks
- Familiarity with Google Cloud and BigQuery
More about this role
We discover drug targets for aging and age-related disease by combining longitudinal human data with causal evidence from genetics and animal models, structured ontologies and curated external knowledge. A knowledge graph harmonizes these disparate sources to enable scientific discovery of targets, indications and mechanism of action.
We are seeking a Knowledge Graph Engineer with hands-on experience in data engineering and graph technologies to design, build, and maintain scalable knowledge graph solutions. You will translate ontologies and semantic models into production systems, develop pipelines that connect enterprise data to graph platforms, and build queries that support downstream analytics and intelligent applications.
This role is ideal for someone who combines strong software engineering fundamentals with an understanding of graph modeling and semantic data. You will own solutions from architecture and technology selection through implementation, testing, and performance optimization, working closely with data engineers, AI teams, and stakeholders to turn business requirements into reliable systems.
- Maintain and extend our knowledge graph, including its schema,...
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