Senior Clinical Informatics Data Architect

Verily Health; United States; On-site; USD 180,000 - 210,000; Full time

Job summary

Verily Health is seeking a senior data architect/informatics leader to guide data modeling, normalization, and transformation for a healthcare data platform. You will map source data to FHIR, OMOP, and STDM, standardize terminologies, and drive robust pipelines across multi-source feeds using FHIR/HL7/X12.

The role emphasizes data quality, architectural leadership, and collaboration with clinical and technical teams while exploring ML/AI methods to advance precision health solutions.

Qualifications

• Bachelor’s degree in CS, Math or medical field; Master’s in Clinical Informatics.
• Minimum 8 years as a clinical informaticist, data architect or data integration engineer in Healthcare/Life Sciences.
• Proficiency with healthcare standards and terminologies (FHIR, OMOP, SNOMED, LOINC, RxNorm).
• Experience with ETL tooling, cloud platforms and Git.

Responsibilities

• Oversee data modeling, normalization, and transformation to support healthcare data architecture.
• Lead design of data mapping to FHIR, OMOP, and STDM with terminology standardization.
• Oversee multi-source data ingestion using standard interoperability protocols (FHIR, HL7, X12).
• Architect robust data pipelines for large data volumes and timely analysis.
• Champion data quality standards and collaborative data governance.
• Bridge technical and non-technical teams to communicate complex concepts.
• Explore and adopt ML/AI methodologies where applicable.
• Prepare design documents detailing architecture, normalization, and harmonization.
• Address high-impact data issues to minimize operational disruptions.

Skills

SQL

Python

R

dbt

Jupyter Notebook

Git

Education

Bachelor’s degree in Computer Science or Mathematics or medical related field

Master’s degree in Clinical Informatics

Tools

FHIR

HL7

OMOP

SNOMED/LOINC/RxNorm

Job description

Verily Health is seeking a senior data architect/informatics leader to guide data modeling, normalization, and transformation for a healthcare data platform. You will map source data to FHIR, OMOP, and STDM, standardize terminologies, and drive robust pipelines across multi-source feeds using FHIR/HL7/X12.

The role emphasizes data quality, architectural leadership, and collaboration with clinical and technical teams while exploring ML/AI methods to advance precision health solutions.