Medical AI Data Engineer 80-100 %

Key Responsibilities : Design, develop, and maintain an AI agents leveraging RAG and autonomous AI agents, enabling clinical researchers to query sensitive federated datasets using natural language Build and iterate on an interoperable query language to SQL generation pipeline, including schema-awareness layers, and query validation tailored to complex clinical data models Implement and maintain data harmonization pipelines conforming to the OMOP Common Data Model and HL7 FHIR standard, enabling interoperability across heterogeneous clinical datasets from multiple institutions Integrate and maintain medical ontology mappings across ICD-10, SNOMED CT, ATC, and RxNorm to ensure semantic consistency in federated patient data queries Develop and maintain full-stack platform features: from backend services, APIs, and query orchestration pipelines through to user-facing interfaces for clinical researchers and data scientists. What We Are Looking For …