Senior Data Engineer

Job Summary

Serving as a senior hands-on technical owner, the full-time Senior Data Engineer will design and deliver data engineering and clinical natural language processing (NLP) pipelines to transform structured and unstructured data from electronic medical records into standardized clinical data.

Key Responsibilities:

• Own the design, implementation, testing, deployment, and maintenance of pipelines that integrate structured EMR data and process unstructured clinical narratives
• Develop workflows for entity and relationship extraction and normalize clinical concepts using appropriate medical terminologies
• Collaborate with clinicians to define clinical data schemas and resolve annotation disagreements while documenting architecture and operational procedures

Required Qualifications:

• Master's or Ph.D. in Computer Science, Computational Linguistics, Biomedical Informatics, Data Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of relevant experience in NLP, machine learning, or applied AI engineering, including 3+ years developing clinical NLP solutions
• Advanced Python and SQL skills, with experience in data processing tools and ETL orchestration
• Hands-on experience with the OMOP Common Data Model and clinical entity recognition
• Strong understanding of medical terminology and clinical workflows, with experience creating clinician-reviewed reference datasets