Senior Data, AI Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Design, develop, test, deploy, and maintain pipelines that integrate structured EMR data while processing unstructured clinical narratives.

• Create workflows for entity and relationship extraction focused on diagnoses, symptoms, laboratory results, demographics, medications, allergies, and procedures.

• Normalize clinical concepts using terminologies such as ICD, SNOMED CT, RxNorm, LOINC, and others.

• Implement clinical context interpretation for aspects like negation, uncertainty, temporality, experiencer, and treatment status.

• Reconcile extracted findings with structured EMR records by applying source and time precedence rules.

• Construct and assess hybrid clinical NLP methodologies utilizing rules, dictionaries, statistical or deep learning models, and LLMs.

• Collaborate with clinicians on schemas, source mappings, annotation guidelines, reference datasets, and acceptance criteria.

• Measure extraction and normalization performance and perform clinical error analysis.

• Maintain source evidence, provenance, model and terminology versions, and review status.

• Develop ETL workflows, APIs, and validation controls for EMR and NLP data.

• Monitor data quality, throughput, reliability, and model performance; address production issues as they arise.

• Design and sustain mappings and transformation pipelines for a transplant-focused OMOP CDM.

• Document system architecture and operational procedures, lead code and design reviews, mentor engineers, and communicate technical tradeoffs effectively.

• Adhere to security, privacy, and compliance standards for sensitive healthcare data, including practices aligned with HIPAA.

⛳️ Requirements

• Master’s or Ph.D. in Computer Science, Computational Linguistics, Biomedical Informatics, Data Science, Engineering, or a related discipline, or equivalent practical experience.

• Over 7 years of relevant experience in NLP, machine learning, or applied AI engineering.

• More than 3 years of experience developing clinical NLP solutions using real-world EHR or hospital notes, with a proven track record of delivering production solutions.

• Advanced proficiency in Python and SQL.

• Familiarity with pandas or similar data-processing tools, relational data modeling, ETL orchestration, incremental processing, schema validation, and automated data quality checks.

• Experience integrating structured EMR data through HL7 FHIR, HL7 v2, APIs, or database extracts.

• Knowledge of the OMOP Common Data Model and OHDSI standardized vocabularies.

• Proven experience validating OMOP data regarding conformance, completeness, and plausibility.

• Expertise in clinical entity recognition and linking, relationship extraction, assertion detection, and temporal extraction.

• Experience with frameworks such as medspaCy, scispaCy, cTAKES, or similar tools.

• Proficient in ICD, SNOMED CT, RxNorm, LOINC, UMLS, and UCUM or equivalent methodologies.

• Experience with transformer models using PyTorch, TensorFlow, or similar frameworks and Hugging Face Transformers or comparable tools.

• Knowledge in LLM-based clinical extraction, schema-constrained outputs, and terminology-grounded validation.

• Strong understanding of medical terminology, diseases, laboratory measurements, medications, and clinical workflows.

• Experience creating clinician-reviewed reference datasets and annotation guidelines.

• Familiar with measuring precision, recall, and F1 scores.

• Experience in preventing patient-level data leakage and assessing performance across source systems and note types.

• Background in building production APIs or services and deploying containerized applications on a cloud platform.

• Familiarity with Git, automated testing, CI/CD, model and data versioning, monitoring, batch inference, error recovery, and performance testing.

• Ability to lead technical projects independently, mentor engineers, document designs, and communicate tradeoffs clearly.

🏝️ Benefits

• Competitive base salary along with incentive compensation.

• Health and welfare benefits.

• Gym reimbursement program.

• 401(k) savings plan match.

• Employee Stock Purchase Plan.

• Pre-tax commuter benefits.

• Up to 30 days of paid leave annually for a full-time employee who donates an organ or bone marrow.

• Additional discretionary bonuses/incentives and restricted stock units may be available.