Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Hippocratic AI is rapidly expanding across the pharma and medtech industries. We are building a new class of agentic AI that supports patients and healthcare stakeholders across the entire life sciences value chain including patient services, clinical trials, access, adherence, and HCP-facing workflows. We are contracted with 5 of the top 20 pharma globally and are in a hyper growth phase for our Life Sciences vertical.
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Hippocratic AI is rapidly expanding across the pharma and medtech industries. We are building a new class of agentic AI that supports patients and healthcare stakeholders across the entire life sciences value chain including patient services, clinical trials, access, adherence, and HCP-facing workflows. We are contracted with 5 of the top 20 pharma globally and are in a hyper growth phase for our Life Sciences vertical.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
Location Requirement
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.
We are seeking a VP of Medical Excellence and Safety to lead the company's commitment to clinical rigor, patient safety, and medical governance across Hippocratic AI's platform. This executive will define the standards by which our AI agents operate — ensuring every patient interaction, clinical workflow, and safety process meets the highest bar for accuracy, reliability, and harm prevention.
This role goes beyond traditional medical affairs. You will own the end-to-end medical quality and safety architecture for an AI platform that engages patients and healthcare professionals at scale. You will build the systems, frameworks, and culture that make medical excellence a defining characteristic of Hippocratic AI — not just a compliance requirement but a competitive differentiator and a core expression of our mission.
The ideal candidate has deep roots in medical affairs, clinical medicine, pharmacovigilance, or patient safety and brings an operator's mindset to building governance systems in fast-moving environments. Join experts who've spent their careers improving care, advancing science, and building world-changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
The VP of Medical Excellence and Safety is responsible for defining and upholding the clinical, scientific, and safety standards that govern Hippocratic AI's platform across all customer environments. You will serve as the company's most senior authority on medical accuracy, patient safety, adverse event management, clinical content governance, and quality assurance for AI-driven healthcare interactions.
You will design and operationalize the frameworks that ensure every platform interaction is medically sound, clinically appropriate, and safe — spanning medical information delivery, safety signal detecti
Safety-focused large language model for healthcare.
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