Jobs 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.

Develop and maintain regulatory compliance frameworks for consumer, research, and SaMD (including AI/ML) products. Partner with engineering, product, and quality teams to embed US regulatory requirements into development workflows, author regulatory documentation and submissions, apply statistical methods for performance evaluation and post-market surveillance, and monitor evolving regulatory landscapes to support pre- and post-market compliance and ex-US expansion.

Lead design, implementation, and governance of Verily's Quality Management System across consumer, research, SaMD, and AI/ML products. Drive ISO 13485 maintenance and certifications, develop AI/ML quality frameworks, analyze quality metrics, manage CAPA and risk processes, staff and mentor QA teams, and embed quality practices into engineering and product workflows.

Lead integration of cybersecurity into the Software QMS and SDLC for consumer, research, and SaMD products. Guide creation/maintenance of design files, risk management, verification/validation, post-market surveillance, CAPA and audit responses, and cross-functional cybersecurity initiatives to meet FDA and international medical device standards.

The Customer Success Manager will build relationships with key stakeholders, manage client interactions, secure renewals, identify revenue opportunities, and track success metrics to achieve customer objectives.

Manage end-to-end clinical study operations: author protocols and consent forms; implement operational and monitoring plans; oversee site relationships, deviations, safety workflows, and eTMF compliance; support cross-functional study execution, risk management, and research timelines through study closeout.

Design and analyze health studies using statistical and epidemiological methods; lead research projects end-to-end; evaluate clinical outcomes, costs, and utilization; collaborate with cross-functional teams to measure product effectiveness and inform strategy; develop KPIs and evidence-generation for digital health products.

The Customer Success Manager will build relationships, drive product adoption, and ensure customer satisfaction and renewals within strategic accounts. Responsibilities include managing client interactions and escalating issues for resolution.