Senior Data & AI Engineer
Core
Design and deliver data engineering and clinical NLP pipelines to transform structured and unstructured EMR data into standardized clinical data for transplant-focused operations.
Role type
Senior hands-on IC data & AI engineer (clinical NLP)
Builds
Production data pipelines, ETL workflows, and clinical NLP models integrating EMR data into OMOP CDM
Domain
Healthcare / Precision Medicine / Clinical Informatics
Deliverable
production ML models
Required skills
Clinical NLP, OMOP CDM, Python, SQL, Transformer models, LLMs, Medical terminology (ICD, SNOMED CT, RxNorm, LOINC), ETL orchestration, Data modeling
Preferred skills
HL7 FHIR, medspaCy/scispaCy, PyTorch/TensorFlow, Hugging Face, Clinical reasoning
Technologies
Python, SQL, pandas, PyTorch, TensorFlow, Hugging Face Transformers, medspaCy, scispaCy, cTAKES, OMOP, OHDSI
Responsibilities
Design and implement pipelines for structured EMR and unstructured clinical narrative integration; Develop entity and relationship extraction workflows for diagnoses, symptoms, and medications; Normalize clinical concepts using standard terminologies; Implement clinical context interpretation (negation, uncertainty, temporality); Build and evaluate hybrid NLP approaches using rules, dictionaries, and deep learning; Partner with clinicians to define schemas and resolve annotation disagreements; Measure and validate NLP performance across hospitals and note types; Build ETL workflows, APIs, and validation controls for data harmonization; Document architecture and mentor engineers.
Seniority
Senior, hands-on IC
