Senior Data, AI Engineer

Vaga não está no LinkedIn

🔥 7 horas atrás

🏄 California – Remoto

🏄 California – Remote

💵 $145.000 - $187.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 0%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

CareDx, Inc.

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

<CareDx, Inc. > CareDx, Inc. é uma empresa focada em saúde que desenvolve testes diagnósticos, serviços de laboratório e soluções digitais especificamente para pacientes e provedores de transplante. Sua oferta inclui testes de DNA livre de células (AlloSure) para monitoramento de lesões em órgãos, produtos para tipagem HLA para compatibilidade, serviços laboratoriais para transplante, aplicativos de gerenciamento digital de pacientes e integrações de EMR, além de serviços farmacêuticos para apoiar o desenvolvimento clínico. A CareDx atende centros de transplante, clínicos, pacientes e parceiros biofarmacêuticos para melhorar os resultados de transplante de órgãos em cuidados renais, cardíacos e pulmonares.

Descrição

• Design, implement, test, deploy, and maintain pipelines integrating structured EMR data and processing unstructured clinical narratives • Develop entity and relationship extraction workflows for diagnoses, symptoms, laboratory results, demographics, medications, allergies, and procedures • Normalize clinical concepts using ICD, SNOMED CT, RxNorm, LOINC, and other terminologies • Implement clinical context interpretation for negation, uncertainty, temporality, experiencer, and treatment status • Reconcile extracted findings with structured EMR records using source and time precedence rules • Build and evaluate hybrid clinical NLP approaches using rules, dictionaries, statistical or deep learning models, and LLMs • Partner with clinicians on schemas, source mappings, annotation guidelines, reference datasets, and acceptance criteria • Measure extraction and normalization performance and conduct clinical error analysis • Preserve source evidence, provenance, model and terminology versions, and review status • Build ETL workflows, APIs, and validation controls for EMR and NLP data • Monitor data quality, throughput, reliability, and model performance; resolve production issues • Design and maintain mappings and transformation pipelines for a transplant-focused OMOP CDM • Document architecture and operational procedures, lead code and design reviews, mentor engineers, and communicate technical tradeoffs • Follow security, privacy, and compliance requirements for sensitive healthcare data, including HIPAA-aligned practices

🎯 Requisitos

• Master’s or Ph.D. degree 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 • 3+ years developing clinical NLP solutions using real-world EHR or hospital notes, with demonstrated delivery of production solutions • Advanced Python and SQL skills • Experience with pandas or comparable 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 • Experience with the OMOP Common Data Model and OHDSI standardized vocabularies • Experience validating OMOP data for conformance, completeness, and plausibility • Experience with clinical entity recognition and linking, relationship extraction, assertion detection, and temporal extraction • Experience with medspaCy, scispaCy, cTAKES, or comparable frameworks • Expertise with ICD, SNOMED CT, RxNorm, LOINC, UMLS, and UCUM or equivalent methods • Experience with transformer models using PyTorch, TensorFlow, or equivalent frameworks and Hugging Face Transformers or comparable tooling • Experience with 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 • Experience measuring precision, recall, and F1 • Experience preventing patient-level data leakage and evaluating performance across source systems and note types • Experience building production APIs or services and deploying containerized applications on a cloud platform • Experience with Git, automated testing, CI/CD, model and data versioning, monitoring, batch inference, error recovery, and performance testing • Ability to lead technical work independently, mentor engineers, document designs, and communicate tradeoffs clearly

🏖️ Benefícios

• Competitive base salary and 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

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo