Sr Semantic Engineer – Research Data and Analytics
Core
Build and optimize knowledge graph-based software and data resources for biopharma scientific data, ensuring seamless interoperability across relational and graph-based sources.
Role type
Senior Semantic Data Engineer (Research Data and Analytics)
Builds
Scalable knowledge graph solutions, semantic data pipelines, and integrated data models for research scientists.
Domain
Biopharmaceutical research data and analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, RDF, SPARQL, SQL, ETL pipelines, big data technologies, ontology development, semantic modeling, cloud platforms (AWS), CI/CD pipelines
Preferred skills
Biopharma scientific research data analytics, knowledge graphs in life sciences, graph databases (Allegrograph, Neo4j), Cypher, GraphQL, biomedical data management
Technologies
AWS, Databricks, GitLab, PostgreSQL, MySQL, Oracle, Allegrograph, Neo4j, GraphDB, Amazon Neptune
Responsibilities
Develop and maintain semantic data pipelines using Python, RDF, and SPARQL; Integrate relational databases with semantic frameworks; Ensure interoperability across federated data sources; Implement and optimize CI/CD pipelines; Leverage cloud services to support scalable knowledge graph solutions; Harmonize research data to taxonomies and ontologies.
Seniority
Senior, hands-on IC
