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Verily

Precision health tech leveraging data science

Quality Systems and Compliance Lead

Regulatory & Quality (Life Sciences)Confirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • A bachelor's degree in a scientific, engineering, or related field and at least 8 years of experience in quality assurance or regulatory affairs within the medical device, digital health, or life sciences industry.
  • Demonstrated experience leading or managing a Quality Management System (QMS) in conformance with ISO 13485:2016 and FDA QMSR across multiple product domains, including hands-on experience with design and development, corrective and preventive action (CAPA), risk management processes per ISO 14971, and medical device software lifecycle processes per IEC 62304.
  • Experience supporting or managing quality across Software as a Medical Device (SaMD) and/or AI/ML-enabled products, with working knowledge of applicable FDA guidance and international regulatory frameworks.
  • Proven ability to lead cross-functional quality initiatives, manage and develop QA teams, and influence stakeholders across engineering, product, and clinical organizations.
  • Must not require employer-sponsored work authorization now or in the future for employment in the United States.

Responsibilities

  • Lead the ongoing vision and implementation of the QMS across consumer, research, and medical device quality, including AI/ML-enabled and generative AI products, in conformance with applicable domestic and international GMP, GCP, GCLP, and GLP regulatory requirements and industry best practices.
  • Lead strategic and tactical quality planning with cross-functional stakeholders across medical device, research, and commercial programs, including SaMD, AI/ML and generative AI applications, consumer health, and medical research, ensuring quality frameworks fit each domain.
  • Develop and advance quality oversight frameworks for AI/ML and generative AI products, including model validation, monitoring, algorithmic change protocols, and alignment with emerging regulatory guidance such as the FDA AI/ML-based SaMD action plan and predetermined change control plans.
  • Maintain and advance ISO 13485:2016 certification across the QMS and lead expansion to additional certifications, such as MDSAP, as directed by business objectives and QA domain responsibilities.
  • Analyze quality metrics and performance data across consumer, medical research, SaMD, and AI/ML programs to identify trends, drive continuous improvement, and implement effective CAPA.
  • Staff and develop the QA team to support quality domains spanning consumer, research, regulated medical device, and AI/ML programs, balancing business needs with regulatory compliance.
  • Build trust, coach and mentor team members, foster an inclusive environment, and empower the team to execute with accountability.
  • Foster organizational compliance with the QMS through ongoing GxP training, education, and quality awareness initiatives across product domains, including emerging practices for AI/ML and generative AI governance.
  • Partner with engineering and product teams to embed quality practices into software development workflows and support SaMD and AI/ML quality processes, including change control, issue tracking, and Design and Development File management per ISO 13485:2016.

Desired Qualifications

  • Experience with MDSAP audit programs and/or leading successful ISO 13485 certification or surveillance audits.
  • Familiarity with emerging regulatory frameworks for AI/ML-based SaMD, including FDA predetermined change control plan (PCCP) guidance and international harmonization efforts such as IMDRF.
  • Experience supporting quality across GCP and/or GCLP environments, including clinical research or laboratory-based programs.
  • Proficiency with Google Workspace and software development and quality tools such as Jira and GitHub for change control, nonconformance tracking, and design and development file management.
  • An advanced degree (MS, MPH, or PhD) in a relevant scientific or engineering discipline, or a recognized quality certification such as ASQ CQE, CQA, or RAC.
  • Experience with Jira and GitHub, or equivalent tools, for supporting SaMD and AI/ML quality processes is a plus.

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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