Decision Scientist – Clinical Informatics, Clinical Data Standards

This is a fully remote position, open to applicants in California, +9 more states.

📋 Description

• Act as a subject matter expert in clinical data, particularly CCD data.

• Develop the clinical data feature store, ensuring adherence to standards, documentation, and best practices.

• Create validated and reusable data assets, including tables, views, and features.

• Establish and manage data dictionaries, lineage, business logic, limitations, and usage guidelines.

• Generate queries, dashboards, and data visualizations for monitoring data quality metrics, data availability, and clinical insights.

• Convert clinical concepts into analytical frameworks.

• Provide assistance to analysts, data scientists, and business partners utilizing clinical data.

• Collaborate with data engineering teams to develop clinical data pipelines.

• Acquire knowledge and apply data governance practices, HIPAA compliance, privacy regulations, and internal stewardship policies.

• Stay updated on clinical data standards, including HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, and RxNorm.

⛳️ Requirements

• A minimum of 2 years of relevant experience in clinical informatics, healthcare analytics, or clinical data management.

• Familiarity with various clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data.

• Understanding of clinical coding systems and terminologies, including ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm.

• Capability to support downstream data consumers with documentation, training, and consultative assistance.

• Proficient in SQL and managing large-scale healthcare datasets.

• Experience with cloud-based data platforms, preferably using Google Cloud Platform tools like BigQuery.

• Knowledge of data quality principles, involving validation, profiling, and monitoring of healthcare data.

• Exceptional written and verbal communication abilities.

• 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 with healthcare data platforms and interoperability standards such as OMOP, CCDA, and FHIR.

• Preferred: familiarity with clinical workflows and Health Information Exchanges (HIEs).

• Preferred: experience with standardized clinical code systems and common data models like OMOP.

• Preferred: expertise in ETL design and implementation from diverse clinical sources.

• Preferred: experience with data quality frameworks using tools such as Achilles or DQDB.

• Preferred: knowledge of HIPAA/HITRUST, de-identification/tokenization, PHI management, and data access controls.

🏝️ Benefits

• Bonus, commission, or short-term incentive program in addition to base salary.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources to support physical, emotional, and financial well-being.