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CVS Health
CVS Health
MazumtirdzniecībaVeselības apdrošināšanaVeselības aprūpe
CVS Health ir Amerikas Savienoto Valstu veselības aprūpes uzņēmums, kas darbojas veselības aprūpes pakalpojumu, veselības apdrošināšanas, aptieku pabalstu pārvaldības un mazumtirdzniecības aptieku jomā. Ar tādiem uzņēmumiem kā Aetna un CVS Caremark tas atbalsta veselības apdrošināšanas segumu, recepšu medikamentu pieejamību, veselības stāvokļa pārvaldību, specializētus medikamentus un medikamentu pasūtīšanu pa pastu. Uzņēmuma apkārtnes aptiekas un plašāki aprūpes pakalpojumi ir veidoti, lai cilvēki varētu ērtāk un izdevīgāk saņemt būtiski nepieciešamo veselības aprūpi. CVS Health apvieno apdrošināšanu, aptieku un veselības aprūpes pakalpojumus, lai atbalstītu cilvēkus un kopienas visā viņu aprūpes ceļā.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisAZArizonaCAKalifornijaCOKolorādoCTKonektikutaFLFloridaIDAidahoILIlinoisaLALuiziānaMEMeinaMAMasačūsetsaMIMičiganaMNMinesotaMOMisūriNVNevadaNHŅūhempšīraNJŅūdžersijaNYŅujorkaNCZiemeļkarolīnaNDZiemeļdakotaOHOhaioOKOklahomaOROregonaPAPensilvānijaRIRodailendaSCDienvidkarolīnaSDDienviddakotaTNTenesīTXTeksasaUTJūtaVTVērmontaVAVirdžīnijaWAVašingtonaWVRietumvirdžīnijaWIViskonsinaWYVaiominga
83 430 $ – 222 480 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
BigQueryGoogle Cloud PlatformMākonisSQL

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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