[Hiring] Knowledge Graph Engineer @BioAge Labs

Role Description

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:

• 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.
• Maintain our ontologies and semantic models with the biology and data science teams.
• Integrate knowledge graph solutions with cloud platforms and enterprise data ecosystems.
• Collaborate with data engineers, data science, AI and biology teams.
• Write clean, testable, production-grade code and apply engineering best practices throughout development and delivery.

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.
• Familiarity with standard biomedical ontologies and identifiers (e.g. UniProt, Gene Ontology, EFO, MONDO).

Requirements

• Hands-on experience with graph databases such as Neo4j, Stardog or GraphDB.
• Working knowledge of semantic modelling concepts and standards such as RDF and OWL.
• Experience designing and building APIs (e.g. REST or GraphQL).
• Experience building data-quality or validation frameworks.
• Familiarity with Google Cloud and BigQuery.
• Strong Python and working knowledge of JavaScript.
• 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.

Benefits

• Competitive salary and comprehensive compensation package.
• Generous paid time off in addition to company-observed holidays.
• Comprehensive health and wellness benefits (medical, dental, and vision insurance).
• 401(k) retirement savings plan with matching employer contributions.
• Childcare and fertility benefits.
• Opportunities for career development, including a generous annual budget for continued learning.
• Remote work options available.
• Salary for this role is expected to be approximately $140,000 - $175,000, depending on experience.

Company Description

BioAge is a clinical-stage biopharmaceutical company developing therapeutic product candidates for metabolic diseases by targeting the biology of human aging. The Company's lead product candidate, BGE-102, is a potent, orally available, brain-penetrant small-molecule NLRP3 inhibitor being developed for cardiovascular risk and retinal diseases including diabetic macular edema.

BioAge has been listed on Nasdaq (BIOA) since 2024. For additional information about BioAge, visit the company’s website at bioagelabs.com .