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CVS Health
CVS Health
Mažmeninė prekybaSveikatos draudimasSveikatos priežiūra
CVS Health yra Jungtinių Amerikos Valstijų sveikatos priežiūros įmonė, veikianti sveikatos priežiūros paslaugų, sveikatos draudimo, vaistų išmokų administravimo ir mažmeninės prekybos vaistais srityse. Per tokias veiklas kaip „Aetna“ ir „CVS Caremark“ įmonė padeda užtikrinti sveikatos draudimo apsaugą, receptinių vaistų prieinamumą, ligų valdymą, specializuotus vaistus ir vaistų užsakymo paštu paslaugas. Jos vietinės vaistinės ir platesnės priežiūros paslaugos skirtos tam, kad žmonės galėtų patogiau ir prieinamiau gauti būtiną sveikatos priežiūrą. CVS Health sujungia draudimo, vaistinių ir sveikatos priežiūros paslaugas, kad padėtų žmonėms ir bendruomenėms viso jų priežiūros kelio metu.
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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.

USJungtinės ValstijosAZArizonaCAKalifornijaCOKoloradasCTKonektikutasFLFloridaIDAidahasILIlinojusLALuizianaMEMeinasMAMasačusetsasMIMičiganasMNMinesotaMOMisūrisNVNevadaNHNaujasis HampšyrasNJNaujasis DžersisNYNiujorkasNCŠiaurės KarolinaNDŠiaurės DakotaOHOhajasOKOklahomaOROregonasPAPensilvanijaRIRod AilandasSCPietų KarolinaSDPietų DakotaTNTenesisTXTeksasasUTJutaVTVermontasVAVirdžinijaWAVašingtonasWVVakarų VirdžinijaWIViskonsinasWYVajomingas
83 430 $ – 222 480 $ / metai
NuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas
BigQueryDebesijaGoogle Cloud PlatformSQL

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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AnsibleAWSAzureDebesijaDNSDockerGrafanaKubernetesLinuxOpenShiftPrometheusPythonTerraform

Build secure AI and machine learning platforms and cloud infrastructure for Services Australia. Lead scalable solutions across public cloud, on-premises and hybrid environments.

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