Teams at Verily

Designs FHIR-compliant clinical data models and develops harmonization, enrichment, and validation strategies across EHR, HIE, and claims data. Serves as a subject matter expert for clinical ontologies and value sets, maintains data quality and longitudinal integrity, and documents requirements for engineering teams. Requires expertise in healthcare interoperability standards, clinical informatics, Python, and SQL, with preferred experience in dbt, Jupyter Notebooks, and healthcare data integration.

Design and deploy generative AI workflows and multi-agent architectures for healthcare applications. Curate EHR and claims data, extract clinical variables from unstructured medical text, and develop evaluation pipelines for agent safety, accuracy, factuality, and compliance. Apply advanced machine learning, NLP, and LLM techniques to create trustworthy longitudinal datasets supporting autonomous care agents and clinical decision tools. Communicate technical findings to technical and non-technical stakeholders.

Leads evidence-generation activities across clinical studies, registries, pragmatic trials, real-world evidence studies, and AI evaluations. Designs protocols and analysis plans, reviews clinical data and AI outputs, ensures scientific and regulatory rigor, manages research partnerships, contributes to publications, and serves as a clinical subject matter expert for product and commercial teams. The role requires hands-on leadership, clinical research expertise, epidemiological and biostatistical fluency, and experience working with health systems, payers, investigators, and pharmaceutical partners.