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 expert in clinical data, encompassing CCD data, claims, pharmacy information, lab results, and clinical documentation.

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

• Construct the clinical data feature store while establishing standards, documentation, and best practices.

• Develop thoroughly documented, validated, and reusable data assets such as tables, views, and features.

• Create and maintain data dictionaries, lineage, business logic, limitations, and appropriate-use guidelines.

• Build queries, dashboards, and data visualizations to communicate data quality metrics, data availability, and clinical insights.

• Collaborate with clinical, operational, and business stakeholders to convert data needs into effective data solutions.

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

• Translate clinical concepts into analytical frameworks.

• Work alongside data engineering teams on the development of clinical data pipelines.

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

• Develop and deliver training sessions, presentations, and consultations for data consumers.

• Remain up-to-date 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.

• Proficiency in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data.

• Strong familiarity with clinical coding systems and terminologies, including ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm.

• Experience in designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data.

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

• Proficient in SQL and working with large-scale healthcare datasets.

• Experience with cloud-based data platforms, preferably utilizing Google Cloud Platform tools such as BigQuery.

• Strong understanding of healthcare data quality principles, including 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 an equivalent combination of formal education and experience.

• Preferred: experience in integrating clinical and administrative data into unified patient-centric models.

• Preferred: experience in patient data normalization and standardization.

• Preferred: experience in reconciling clinical and claims data.

• Preferred: experience in integrating 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 in designing patient-centric data models, feature stores, and dashboards.

• Preferred: experience in creating data dictionaries, lineage documentation, and self-service analytics layers.

• Preferred: understanding of care management, value-based care, HEDIS, Stars, and population health.

🏝️ Benefits

• Medical coverage

• Dental coverage

• Vision coverage

• Paid time off

• Retirement savings options

• Wellness programs

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

• CVS Health bonus, commission, or short-term incentive program in addition to base pay