Manhattan WMOS Engineer
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Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
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CVS Health एक अमेरिकी स्वास्थ्य सेवा कंपनी है, जो स्वास्थ्य सेवाओं, स्वास्थ्य बीमा, फार्मेसी लाभ प्रबंधन और रिटेल फार्मेसी के क्षेत्रों में काम करती है। Aetna और CVS Caremark जैसे व्यवसायों के माध्यम से यह स्वास्थ्य कवरेज, दवाओं तक पहुंच, रोग प्रबंधन, विशेष दवाओं और मेल-ऑर्डर फार्मेसी सेवाओं में सहायता प्रदान करती है। इसकी स्थानीय फार्मेसियां और व्यापक स्वास्थ्य सेवाएं लोगों को आवश्यक स्वास्थ्य देखभाल अधिक सुविधाजनक और किफायती तरीके से प्राप्त करने में मदद करने के लिए बनाई गई हैं। CVS Health बीमा, फार्मेसी और स्वास्थ्य सेवाओं को एक साथ लाकर लोगों और समुदायों को उनकी स्वास्थ्य यात्रा के दौरान सहयोग प्रदान करती है।
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.
संयुक्त राज्य
एरिज़ोना
कैलिफ़ोर्निया
कोलोराडो
कनेक्टिकट
फ़्लोरिडा
आइडाहो
इलिनॉय
लुइज़ियाना
मेन
मैसाचुसेट्स
मिशिगन
मिनेसोटा
मिसौरी
नेवादा
न्यू हैम्पशायर
न्यू जर्सी
न्यूयॉर्क
उत्तरी कैरोलिना
उत्तरी डकोटा
ओहायो
ओक्लाहोमा
ओरेगन
पेंसिल्वेनिया
रोड आइलैंड
दक्षिण कैरोलाइना
दक्षिण डकोटा
टेनेसी
टेक्सास
यूटा
वर्मोंट
वर्जीनिया
वॉशिंगटन
पश्चिम वर्जीनिया
विस्कॉन्सिन
वायोमिंग$83,430 – $2,22,480 / वर्ष
रिमोटपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिकविवरण
- 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
आवश्यकताएँ
- 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
लाभ
- 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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