Staff Clinical Informatics Data Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

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Verily

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

💼 Consulting

🏥 Healthcare

🤖 Artificial Intelligence

Consulting • Healthcare • Artificial Intelligence

Verily is an AI-native precision health platform that develops and deploys clinical and research-focused software and AI models to make healthcare more predictive, preventive, and precise. Its offerings include consumer-facing tools like Verily Me for personalized health guidance and clinician support, care solutions that personalize member engagement and goal-setting, and research products that curate and standardize multimodal clinical and real-world data (FHIR-native) to accelerate trials and insights. The company emphasizes clinical and regulatory safety in building AI for care and research workflows.

📋 Description

• Oversee the planning, design, and execution of data modeling, normalization, and transformation activities • Lead healthcare data modeling and source-data mapping to FHIR, OMOP, and STDM • Oversee ingestion strategies for multisourced healthcare data using FHIR, HL7, and X12 ED protocols • Architect and oversee robust, efficient, and reliable data pipelines for large data volumes • Champion data quality initiatives and establish standards and processes for reliable, accurate data • Foster collaboration between technical and non-technical teams and translate complex concepts into actionable insight • Drive exploration and adoption of emerging technologies and methodologies, including machine learning and artificial intelligence • Design architecture, normalization, and harmonization documentation for technical and non-technical stakeholders • Solve complex, high-impact data issues and minimize disruptions to critical operations • Lead data design and model development efforts using SQL, Python, R, dbt, Jupyter Notebook, cloud platforms, and Git

🎯 Requirements

• Bachelor's degree in Computer Science, Mathematics or medical related field and Master's degree in Clinical Informatics • Minimum of 8 years experience working 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), standard data models (such as FHIR, OMOP, etc), and healthcare interoperability standards and frameworks like HL7, NCPDP, and CCD-A • Strong skills related to SQL, Python, R, dbt, ETL tooling and Jupyter Notebook • Experience with cloud computing platforms, version control systems (e.g., Git), and collaborative development tools