[Hiring] Staff Clinical Informatics Data Architect @Verily

Role Description

As a technical leader, oversee the plan, design, and execution of data modeling, normalization, and transformation activities. These efforts will support the development of an advanced healthcare data architecture that aligns with organizational goals and adheres to informatics standards.

• Lead the design of healthcare data modeling and mapping of source data to FHIR, OMOP, and STDM.
• Data normalization, enrichment, and deduplication to enhance data quality and completeness.
• Standardize source data to terminologies and ontologies like SNOMED, LOINC, RxNorm, and others.
• Oversee the integration strategy for ingestion of multi-sourced healthcare data through standard interoperability exchange protocols, such as FHIR, HL7, and X12 ED.
• Architect and oversee the design of robust data pipelines for efficient and reliable data handling.
• Champion data quality initiatives, establishing rigorous standards and processes for data reliability and accuracy.
• Foster collaboration between technical and non-technical teams, translating complex technical concepts into actionable insights.
• Drive the exploration and adoption of emerging technologies and methodologies, such as machine learning or artificial intelligence.
• Design documents that communicate data architecture, normalization principles, and harmonization techniques to stakeholders.
• Apply expertise to solve complex, high-impact data-related issues, ensuring timely resolution.
• Leverage deep technical knowledge of SQL, Python, R, dbt, Jupyter Notebook, cloud computing platforms, and version control systems (e.g., Git).

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or a medical-related field and Master's degree in Clinical Informatics.
• Minimum of 8 years experience as a clinical informaticist, data architect, or data integration engineer in Healthcare or Life Sciences industries.
• Demonstrated proficiency in established healthcare standards, controlled terminologies (including SNOMED, LOINC, and RxNorm), and standard data models (such as FHIR, OMOP, etc).
• Strong skills related to SQL, Python, R, dbt, ETL tooling, and Jupyter Notebook.
• Experience with cloud computing platforms and using version control systems (e.g., Git) and collaborative development tools.

Preferred Qualifications

• PhD in Clinical Informatics, MD, or PharmD.
• Previous experience developing informatics solutions to support patient care or clinical research.
• Knowledge of clinical practice and research, including operating procedures and workflows within a hospital or ambulatory setting.
• Demonstrated expertise in standard healthcare models, such as OMOP and HL7 FHIR R4/R5.
• Expertise in healthcare interoperability frameworks and standards including HL7 FHIR, HL7 v2, CDA/CCD-A, and NCPDP.