Clinical Informaticist

Verily•Boston, MA

10d•$119,000 - $179,000

About The Position

Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise. We are seeking a highly motivated and detail-oriented Clinical Pharmacy Informaticist with expertise in HL7 FHIR. The ideal candidate will have in-depth knowledge of healthcare data standards, and industry standards, with a focus on Integrating, enriching, and harmonizing clinical data. This role will participate in ensuring the accuracy and usability of data across our organization, ultimately supporting various patient care and research efforts.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, or a closely related technical degree.
Professional Certificate or Master’s Degree in Clinical Informatics or equivalent professional experience in a clinical informatics role.
Minimum of 5 years experience working in clinical informatics or data integration in Healthcare or Life Sciences industries
Demonstrated proficiency in navigating the complexities of interoperability standards and frameworks (HL7 v2, FHIR CDA/CCD-A, NCPDP) and data models (FHIR R4/R5, OMOP).
Advanced proficiency in Python and SQL.

Nice To Haves

Hands-on experience with dbt (data build tool), Jupyter Notebooks, and Experience in healthcare data integration.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.

Responsibilities

Architect FHIR-compliant data models, ensuring all instantiated resources align with specific implementation guides (IGs), profiles, and internal architectural standards.
Design and operationalize sophisticated data harmonization and enrichment strategies to unify disparate data streams from EHRs, HIEs, and claims sources.
Act as the subject matter expert for clinical ontologies (SNOMED CT, LOINC, ICD-10, RxNorm); define and maintain custom value sets to support specialized clinical use cases.
Establish rigorous validation frameworks and automated rules to ensure the clinical accuracy, consistency, and longitudinal integrity of our data assets.
Develop clear and concise documentation that effectively communicates data design requirements to engineering teams and stakeholders with varying levels of technical expertise.