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 Life Science 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.
We are seeking a Head of Pharmacovigilance and Safety to build and lead the safety infrastructure that enables Hippocratic AI to operate credibly and compliantly across every patient interaction our platform touches. This leader will own the pharmacovigilance systems, adverse event processes, safety governance, and signal detection capabilities that give our pharma and medtech partners confidence that when our AI agents speak to patients, safety is never compromised.
This is one of the most creatively challenging safety roles in healthcare today. You are not inheriting a mature PV operation and maintaining it — you are designing how pharmacovigilance works when the front line is an AI agent, not a human call center representative. Every assumption about how adverse events are captured, triaged, documented, and reported needs to be rethought for a world where AI agents conduct millions of patient interactions across dozens of therapeutic areas simultaneously. You will invent the frameworks, define the standards, and build the systems that become the industry blueprint for AI-enabled pharmacovigilance.
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.
The Head of Pharmacovigilance and Safety is responsible for building and managing the pharmacovigilance programs, safety systems, and adverse event processes that support Hippocratic AI's commercial growth and customer relationships across regulated healthcare and life sciences environments. You will serve as the company's lead on drug safety, adverse event management, safety signal detection, and pharmacovigilance compliance — with a particular focus on enabling enterprise sales and ensuring pharma and medtech partners have full confidence in the platform's safety infrastructure.
You will work directly with pharma partner safety, PV, and quality teams during deal cycles, vendor qualification, and ongoing deployment governance. Internally, you will partner with Engineering, Product, Medical Affairs, Customer Success, and Compliance to ensure the platform's safety capabilities are robust, auditable, and continuously improving.
You will report to the VP of Medical Affairs, and work closely with the President of Life Sciences, Chief Commercial Officer, Sales, Legal, Customer Success, Product, and Engineering leadership.
Pharmacovigilance System Design and Operations
Design and build the company's pharmacovigilance infrastructure from the ground up — creating the processes, systems, and governance frameworks for how AI-driven patient interactions are monitored for adverse events, product complaints, and safety signals.
Define how adverse events are detected, captured, classified, documented, and reported within AI agent conversations — developing the logic, language models, and escalation rules that enable real-time AE identification at scale across therapeutic areas and product types.
Develop and operationalize end-to-end AE processing workflows including intake, triage, case assessment, MedDRA coding, causality evaluation, narrative authoring, regulatory submission, and follow-up — adapted for the unique characteristics of AI-generated interactions.
Build and maintain a safety case database and quality management system that meets regulatory standards and supports audit readiness across FDA, EMA, and other global regulatory authorities.
Establish aggregate safety reporting capabilities including PSURs, PADERs, DSURs, and ad hoc safety analyses as required by pharma partners and regulatory obligations.
Define SLAs, quality metrics, and performance standards for the PV operation — including case processing timelines, data quality benchmarks, and compliance KPIs.
Develop and manage safety escalation pathways that ensure medically significant events are routed immediately to qualified medical reviewers, regardless of time or volume.
Safety Signal Detection and Innovation
Design and implement safety signal detection capabilities that leverage the unique advantages of AI-driven patient engagement — including the ability to analyze millions of structured conversations for emerging safety patterns that traditional PV methods would miss.
Develop frameworks for proactive safety monitoring that go beyond regulatory minimums — using platform interaction data to identify potential signals earlier, with greater sensitivity, and across broader patient populations than conventional passive surveillance.
Partner with Engineering and Data Science to build automated signal detection tools, trend analysis dashboards, and anomaly detection models that provide real-time visibility into the safety profile of every product the platform supports.
Explore and pioneer new approaches to AI-enabled pharmacovigilance — including natural language processing for AE detection, predictive safety modeling, patient-reported outcome integration, and real-world safety evidence generation.
Publish and present on innovations in AI-enabled PV, establishing Hippocratic AI as a thought leader in the future of drug and device safety.
Customer-Facing Safety and PV Partnership
Serve as the company's primary safety and PV authority in all customer-facing contexts — including enterprise deal cycles, vendor qualification reviews, safety audits, and ongoing partnership governance.
Engage directly with pharma and medtech partner PV, safety, quality, and regulatory teams to demonstrate the platform's safety capabilities, AE handling processes, and compliance infrastructure.
Develop customer-facing PV documentation including safety management plans, PV agreements (PVAs), safety data exchange agreements (SDEAs), reconciliation processes, and audit-readiness materials that meet the standards pharma partners require from qualified safety vendors.
Support Sales and Customer Success by providing safety and PV credibility that differentiates Hippocratic AI from competitors and accelerates deal cycles — particularly with pharma organizations where PV qualification is a gating factor in vendor selection.
Participate directly in customer safety audits, inspections, and governance reviews — representing the company's PV posture with the depth and confidence that pharma safety leaders expect.
Navigate customer-specific safety requirements across therapeutic areas — understanding that PV expectations for an oncology supportive care program differ meaningfully from those for a dia
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