Knowledge Graph Engineer

What you will do

• Maintain and extend our knowledge graph, including its schema, ingestion pipelines and query layer (Neo4j, Cypher, Apache Jena Fuseki, BigQuery on Google Cloud).
• Build and run validation and data-governance pipelines to maintain data quality, consistency, and performance. This covers schema and constraint checks, identifier reconciliation, provenance and versioning.
• Maintain our ontologies and semantic models with the biology and data science teams, and develop the mapping tool scientists use to annotate new terms and analyses. This includes the validation that keeps their mappings consistent with the graph.
• Integrate knowledge graph solutions with cloud platforms and enterprise data ecosystems, including Google Cloud and BigQuery.
• Collaborate with data engineers, data science, AI and biology teams to make graph data accessible and useful for downstream applications.
• Write clean, testable, production-grade code and apply engineering best practices throughout development and delivery.

Basic qualifications

• Bachelor’s degree or higher in computer science, data engineering, AI or a related field, with 3+ years of industry experience in data engineering.
• Experience working with biological or biomedical data, such as genomics, proteomics, clinical or phenotype data, and familiarity with standard biomedical ontologies and identifiers (e.g. UniProt, Gene Ontology, EFO, MONDO).

Technical qualifications

• 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.
• Strong Python and working knowledge of JavaScript for building data pipelines, graph integrations, and production applications.
• Strong software engineering practices, including data modeling, system design, testing, documentation and version control.
• (Preferred) Experience with LLM or agent systems
• (Preferred) Experience with Open Targets and other drug-discovery knowledge bases.

Collaboration and ownership

Our company

Our workplace

• BioAge offers competitive salary, a comprehensive compensation package, and generous paid time off in addition to company-observed holidays. We provide comprehensive health and wellness benefits (medical, dental, and vision insurance) and a 401(k) retirement savings plan with matching employer contributions, and we support families through childcare and fertility benefits. We also pride ourselves in giving employees many opportunities for career development, including a generous annual budget for continued learning and a dedication to training and skill development. Many positions (including this one) are remote, allowing our team members to work from anywhere. The salary for this role is expected to be approximately $140,000 - $175,000, depending on experience. We are open to the concept that different experience levels add value to the team in different ways, and therefore will consider a variety of experience and offer commensurate pay.
• At BioAge, we embrace diversity and differences while we learn from each other, and we believe that every team member has an important role to play. We are an equal opportunity employer. BioAge prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. BioAge conforms to the spirit as well as to the letter of all applicable laws and regulations.
• 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