HeartFlow
Principal Regulatory Affairs Specialist
$188K–$240K
San Francisco, California +3 · Principal · Full-time · Posted Sep 30, 2026
- Location
- San Francisco, California
Rohnert Park, California
Rohnert Park, California, United States
San Francisco - Experience
- 10+ years; alternatives: 6+ years with a Master’s degree, or 4+ years with a PhD. At least 4+ years focused on SaMD, SiMD, or complex digital health solutions, with deep AI/ML knowledge.
- Education
- Bachelor’s degree in Computer Science (ML/AI), Biomedical Engineering, Software Engineering, Electrical Engineering, or a related scientific field.
About the job
Drives global regulatory strategy, submissions, and compliance for HeartFlow’s AI-driven medical software and digital health products.
What you'll do
- Lead cross-functional regulatory planning and global submissions, including FDA filings and EU MDR CE Marking.
- Advise on AI/ML-enabled device strategies, software changes, and pre-market and post-market regulatory compliance.
- Engage with regulatory agencies, track digital health policy, and mentor internal teams on regulatory requirements.
What they ask for
- Bachelor’s degree in Computer Science (ML/AI), Biomedical Engineering, Software Engineering, Electrical Engineering, or a related scientific field.
- 10+ years of direct medical device Regulatory Affairs experience, including 4+ years focused on SaMD, SiMD, or complex digital health solutions with deep AI/ML knowledge; alternatives: 6+ years and a Master’s degree, or 4+ years with a PhD.
- Experience successfully clearing or approving SaMD applications (e.g., 510(k), De Novo, or CE Mark) with FDA and/or EU Notified Bodies.
- Knowledge of IEC 62304, ISO 14971, and IEC 82304-1.
Nice to have
- Direct experience submitting Predetermined Change Control Plans (PCCPs) for AI/ML algorithms.
- Knowledge of clinical trial strategy and clinical study design.
Pay
USD 188,000 - USD 240,000 base salary
Tools
SaMD, SiMD, AI/ML, IEC 62304, ISO 14971, IEC 82304-1, FDA, EU MDR
AI focus
Regulatory strategy and submissions for AI/ML-enabled medical devices, including Good Machine Learning Practice and Predetermined Change Control Plans.
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