Staff Clinical Informatics Data Architect

Posted 1hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Staff Clinical Informatics Data Architect leading FHIR, OMOP, and healthcare data integration for Verily Health's AI-enabled precision-health platform. Overseeing pipelines, standards, and data quality.

Responsibilities:

  • 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