
Associate General Counsel β Regulatory and Technology
Posted Jul 19

Posted Jul 19
This is a fully remote position, open to applicants in United States.
β’ Provide guidance on various regulatory aspects including drug development, privacy, corporate compliance, AI guidelines, and more.
β’ Take ownership of all regulatory and compliance matters that do not fall under any other department outside of Legal.
β’ Keep well-organized digital spreadsheets of all relevant information.
β’ Advise on FDA regulatory strategies and classifications related to all components of the AI platform, considering implications for development, commercialization, and IND/NDA/BLA submissions.
β’ Provide counsel on protocol development, site monitoring, data integrity, biomarker qualification, companion diagnostic considerations, and the utilization of real-world data.
β’ Monitor and interpret the evolving FDA guidance on AI/ML in drug development and translate it into actionable recommendations for internal teams.
β’ Facilitate direct engagement with the FDA and other regulatory agencies on novel inquiries when necessary, including in global clinical programs.
β’ Review external materials such as conference publications for regulatory concerns.
β’ Inform and evaluate technical product specifications, system architectures, and data flow designs for regulatory risks prior to build and deployment.
β’ Develop a working knowledge of the company's technical infrastructure β including cloud systems, data pipelines, storage solutions, and model architecture β to effectively represent these systems to regulators, partners, and investors.
β’ Advise on data governance, data integrity, chain-of-custody, and 21 CFR Part 11 requirements for clinical data across both company systems and third-party infrastructures.
β’ Monitor and evaluate emerging AI regulations (EU AI Act, FDA AI governance frameworks, state laws) for relevance to company operations.
β’ Juris Doctor (J.D.) from a top-tier law school and active bar admission.
β’ Over 7 years of legal experience with significant time spent in-house, ideally within a high-growth technology or biotech company.
β’ Established expertise in drug development law, including IND/NDA/BLA lifecycle, Good Clinical Practice (GCP), 21 CFR Part 11, and regulatory frameworks governing AI/ML tools and software in drug development.
β’ Proven experience advising engineering or product teams, with the capacity to understand and articulate complex technical systems β such as cloud infrastructure, data pipelines, and ML model architecture β without being a hands-on practitioner.
β’ A history of constructing regulatory strategies from foundational principles and managing a regulatory and technical narrative with pharmaceutical partners, investors, and regulators.
β’ Familiarity with clinical data standards, real-world evidence, biomarker qualification, or adaptive trial design.
β’ Health insurance
β’ Paid time off
β’ Flexible work arrangements
β’ Professional development opportunities
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