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CVS Health
CVS Health
Asigurare de sănătateAsistență medicalăComerț cu amănuntul
CVS Health este o companie americană din domeniul sănătății, care activează în servicii medicale, asigurări de sănătate, gestionarea beneficiilor farmaceutice și farmacii cu vânzare cu amănuntul. Prin companii precum Aetna și CVS Caremark, aceasta sprijină acoperirea medicală, accesul la medicamente eliberate pe bază de rețetă, gestionarea afecțiunilor, medicamentele specializate și serviciile de farmacie prin comenzi prin poștă. Farmaciile sale de proximitate și serviciile extinse de îngrijire sunt concepute pentru a-i ajuta pe oameni să acceseze mai ușor și mai accesibil servicii medicale esențiale. CVS Health reunește asigurările, farmacia și serviciile de sănătate pentru a sprijini persoanele și comunitățile pe tot parcursul experienței lor de îngrijire.
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Locurile de muncă ale companiei

Senior Data Scientist, Clinical Informatics and Analytics Enablement at CVS Health (Remote)

Senior Data Scientist focused on clinical informatics and analytics enablement at CVS Health. Develops reusable healthcare data assets, quality frameworks, and clinical data solutions for analytics, modeling, and AI.

USStatele Unite ale AmericiiAZArizonaCACaliforniaCOColoradoCTConnecticutFLFloridaIDIdahoILIllinoisLALouisianaMEMaineMAMassachusettsMIMichiganMNMinnesotaMOMissouriNVNevadaNHNew HampshireNJNew JerseyNYNew YorkNCCarolina de NordNDDakota de NordOHOhioOKOklahomaOROregonPAPennsylvaniaRIRhode IslandSCCarolina de SudSDDakota de SudTNTennesseeTXTexasUTUtahVTVermontVAVirginiaWAWashingtonWVVirginia de VestWIWisconsinWYWyoming
83.430 $ – 222.480 $ / an
RemoteNormă întreagăSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
BigQueryCloudGoogle Cloud PlatformSQL

Descriere

  • Act as a clinical data subject matter expert across CCD records, claims, pharmacy data, lab results, and clinical documentation
  • Design and manage clinical data models, taxonomies, and classification frameworks
  • Build and govern the clinical data feature store with defined standards, documentation, and best practices
  • Create validated, well-documented, reusable tables, views, features, and other data assets
  • Maintain data dictionaries, lineage records, business logic, limitations, and appropriate-use guidance
  • Develop queries, dashboards, and visualizations that convey data quality, availability, and clinical findings
  • Work with clinical, operational, and business partners to turn data requirements into practical solutions
  • Manage data quality frameworks, validation rules, anomaly detection, and monitoring workflows
  • Convert clinical concepts into structured analytical frameworks
  • Partner with data engineering teams to develop clinical data pipelines
  • Support HIPAA compliance, data privacy, and data stewardship efforts
  • Provide training, presentations, and consultations for people who use the data
  • Keep current with HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, and RxNorm standards

Cerințe

  • At least four years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Deep familiarity with clinical data types and structures, including CCD records, laboratory results, clinical notes, and administrative healthcare data
  • Strong command of clinical coding systems and terminologies such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience creating and documenting healthcare data models, taxonomies, or classification frameworks
  • Ability to assist analysts, data scientists, and business users through documentation, training, and consulting
  • Proficiency in SQL and large healthcare datasets
  • Experience using cloud data platforms; Google Cloud tools such as BigQuery are preferred
  • Solid understanding of healthcare data quality, including validation, profiling, and monitoring
  • Excellent written and spoken communication skills
  • Bachelor’s degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related quantitative or clinical discipline, or an equivalent combination of education and experience
  • Preferred experience combining clinical and administrative data into unified, patient-centered models
  • Preferred experience normalizing and standardizing patient data
  • Preferred experience reconciling clinical and claims data
  • Preferred experience incorporating third-party and enrichment data sources
  • Preferred expert knowledge of additional clinical and administrative coding systems, including ICD-10-CM/PCS, CPT/HCPCS, SNOMED-CT, RxNorm, NDC, LOINC, and NPI
  • Preferred experience with HCC, CCS, DRG, and therapeutic class hierarchies
  • Preferred experience designing patient-centered data models, feature stores, and dashboards
  • Preferred experience producing data dictionaries, lineage documentation, and self-service analytics layers
  • Preferred understanding of care management, value-based care, HEDIS, Stars, and population health

Beneficii

  • Medical insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Resources supporting physical, emotional, and financial well-being
  • CVS Health bonus, commission, or short-term incentive opportunity in addition to base pay

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USStatele Unite ale AmericiiALAlabamaAKAlaskaAZArizonaFLFloridaIDIdahoILIllinoisIAIowaKSKansasKYKentuckyLALouisianaMEMaineMIMichiganMSMississippiMOMissouriMTMontanaNENebraskaNVNevadaNHNew HampshireNMNew MexicoNCCarolina de NordNDDakota de NordOHOhioOKOklahomaPAPennsylvaniaSCCarolina de SudSDDakota de SudTNTennesseeTXTexasUTUtahVAVirginiaWVVirginia de VestWIWisconsinWYWyoming
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