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Verily

Precision health tech leveraging data science

Clinical Data Architect

Data Management +1Confirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, or a related technical field.
  • At least 5 years of professional experience in healthcare data architecture or clinical informatics within the healthcare or life sciences sectors.
  • Experience with healthcare data models and interoperability standards, including OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.
  • Advanced proficiency in Python and SQL, with hands-on experience in healthcare data integration.
  • Qualified applicants must not require employer-sponsored work authorization now or in the future for employment in the United States.

Responsibilities

  • Architect FHIR-compliant data models, ensuring all instantiated resources align with specific implementation guides, profiles, and internal architectural standards.
  • Design and operationalize complex data harmonization and enrichment strategies to unify disparate data streams from EHRs, HIEs, and claims sources.
  • Design, develop, and maintain scalable FHIR-to-OMOP transformation pipelines using dbt and SQL.
  • Standardize healthcare data using established clinical terminologies and ontologies such as SNOMED CT, LOINC, ICD-10, and RxNorm, and design and manage custom value sets to support unique clinical scenarios.
  • Establish rigorous validation frameworks and algorithms to ensure the clinical accuracy, consistency, and longitudinal integrity of data assets.
  • Develop clear and concise documentation that communicates data design requirements to cross-functional teams and stakeholders with varying levels of technical expertise.

Desired Qualifications

  • A master's degree or professional certificate in Clinical Informatics, PharmD, or comparable hands-on clinical informatics experience.
  • Hands-on experience with dbt and Jupyter Notebooks.
  • Experience designing or implementing healthcare data architecture and integration solutions.

About the Company

Verily

Precision health tech leveraging data science

Verily uses data science and clinical expertise to improve health outcomes through precision health by collecting and analyzing medical, lifestyle, and environmental data to tailor interventions for individuals and communities. Its products include the Baseline Platform for clinical research and COVID-19 testing programs, care management solutions, and medical devices, delivered through partnerships with healthcare providers, researchers, public health authorities, and government bodies. Verily stands apart by integrating diverse data sources at scale, emphasizing health equity through programs like Onduo, and collaborating with public sector partners while maintaining strong data security and privacy. Its goal is to uncover new health insights and bring precision health to everyone, improving health outcomes across populations.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$3.8B
Headquarters
Dallas, TX
Founded
2015

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