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Verily

Precision health tech leveraging data science

Regulatory Compliance Lead

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

About the Job

Requirements

  • A bachelor's degree in engineering, computer science, statistics, or a related quantitative field and at least 5 years of regulatory affairs experience in the medical device, digital health, or life sciences industry.
  • Demonstrated technical experience developing regulatory compliance frameworks for Software as a Medical Device (SaMD) and/or artificial intelligence/machine learning-enabled products, with working knowledge of applicable Food and Drug Administration (FDA) guidance, including FDA Quality Management System Regulation (QMSR), and familiarity with ISO 13485:2016 requirements, risk management processes per ISO 14971, and medical device software lifecycle processes per IEC 62304.
  • Proficiency with Google Workspace and software development and quality tools, including Jira, GitHub, and document control systems, with the ability to work directly within engineering workflows to operationalize compliance requirements.
  • Strong analytical and statistical skills, with experience applying quantitative methods to regulatory evaluation, performance monitoring, or post-market surveillance activities.
  • Qualified applicants must not require employer-sponsored work authorization now or in the future for employment in the United States.

Responsibilities

  • Develop and maintain fit-for-purpose regulatory compliance frameworks for consumer, research, and SaMD products, including AI/ML-enabled and generative AI applications, in alignment with applicable US regulations and with an eye toward ex-US expansion.
  • Partner with engineering, product, and quality teams to operationalize regulatory requirements throughout the product development lifecycle, using Google Workspace, Jira, GitHub, and document control systems for change control, submission tracking, and compliance workflows.
  • Apply statistical methods and analytical tools to support regulatory decision-making, including performance evaluation, clinical equivalence assessments, and threshold analysis for regulated products.
  • Support post-market regulatory activities for AI/ML-enabled products, including real-world performance monitoring, algorithmic change assessment, post-market surveillance planning, and evaluation of model drift or output degradation against predefined regulatory thresholds.
  • Conduct regulatory landscape assessments for new products and markets, identify compliance risks and opportunities, and develop proactive mitigation strategies to maintain a strong regulatory posture.
  • Monitor and interpret evolving regulatory guidance, including FDA SaMD, AI/ML, and predetermined change control plan frameworks, and translate requirements into actionable processes and procedures for cross-functional teams.
  • Author and maintain regulatory documentation, including submissions, standard operating procedures, and Design and Development File content per ISO 13485:2016, supporting pre-market and post-market compliance activities.
  • Support regulatory interactions, maintain awareness of agency expectations across applicable product domains, and contribute to building positive relationships with regulatory bodies as the product portfolio grows.

Desired Qualifications

  • Experience with AI/ML-enabled medical device products, including familiarity with FDA AI/ML SaMD guidance, predetermined change control plans (PCCP), and post-market performance monitoring for generative AI applications; experience using generative AI tools such as Claude or ChatGPT to enhance regulatory and compliance workflows is a plus.
  • Familiarity with MDSAP audit programs and/or international regulatory frameworks, such as EU MDR, Health Canada, and TGA, in support of ex-US market expansion.
  • Experience supporting regulatory compliance across regulated research programs, including GCP and/or GCLP environments, clinical studies, or laboratory-developed products.
  • Hands-on experience with post-market surveillance and vigilance activities for LLM or AI/ML-enabled products, including real-world performance monitoring, algorithmic change assessment, and predetermined change control plan (PCCP) implementation.
  • Experience applying statistical analysis tools such as Python, R, or equivalent to regulatory datasets, including performance benchmarking, signal detection, or equivalence testing in a regulated product context.
  • An advanced degree (MS or PhD) in engineering, statistics, computer science, or a related quantitative field, or a recognized regulatory certification such as RAC (US or EU).

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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