Senior Data Scientist – Clinical Informatics, Analytics Enablement

This is a fully remote position, open to applicants in Arizona, +34 more states.

📋 Description

• Act as a subject matter authority in clinical data, encompassing CCD data, claims, pharmacy, lab results, and clinical documentation.

• Create and sustain clinical data models, taxonomies, and classification frameworks.

• Develop a clinical data feature store adhering to standards, documentation, and best practices.

• Generate documented, validated, and reusable tables, views, and data features for analytics, reporting, and AI/ML applications.

• Establish and maintain data dictionaries, lineage, business logic, limitations, and guidelines for appropriate use.

• Construct queries, dashboards, and visualizations to convey data quality, availability, and clinical insights.

• Collaborate with clinical, operational, and business stakeholders to translate data requirements into effective solutions.

• Uphold data quality frameworks, including validation rules, anomaly detection, and monitoring processes.

• Convert clinical concepts into analytical frameworks.

• Work together with data engineering teams on clinical data pipelines.

• Contribute to initiatives related to HIPAA, privacy, and data governance.

• Provide training, presentations, and consultations to data consumers.

• Remain updated with HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, and RxNorm standards.

⛳️ Requirements

• A minimum of 4 years of relevant experience in clinical informatics, healthcare analytics, or clinical data management.

• Proficient in CCD data, lab results, clinical notes, medical claims, pharmacy data, and administrative healthcare data.

• Strong understanding of ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm.

• Proven experience in designing and documenting clinical or healthcare data models, taxonomies, or classification frameworks.

• Capability to assist analysts, data scientists, and business users through documentation, training, and consultative support.

• Advanced SQL skills and proficiency in Python.

• Experience working with large-scale healthcare datasets.

• Familiarity with cloud-based data platforms, preferably GCP, including BigQuery.

• Comprehensive understanding of healthcare data quality principles, validation, profiling, and monitoring.

• Exceptional written and verbal communication skills.

• Bachelor's degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related quantitative or clinical field—or a comparable combination of formal education and experience.

🏝️ Benefits

• Medical coverage

• Dental coverage

• Vision coverage

• Paid time off

• Retirement savings options

• Wellness programs

• Additional resources supporting physical, emotional, and financial well-being

• Eligibility for CVS Health bonus, commission, or short-term incentive programs