AI Tools Engineer @ PicnicHealth

PicnicHealth is simplifying clinical research with AI, making it faster and cheaper to get new treatments to patients. We’re bringing a patient-centered, AI-first approach to a $100b market otherwise dominated by old-school, services-driven incumbents. We’re creating a streamlined operating system for clinical research, built on top of our AI for medical record data in trials and a personal health assistant that keeps patients engaged (NPS 76). Founded in 2014, PicnicHealth has raised over $100 million from investors including YC, Amplify Partners, Felicis Ventures and B Capital Group. Our business running observational studies more than doubled last year and we expect to grow even faster this year. We've gained real traction in a conservative industry: 12 of the top 20 pharma companies use PicnicHealth, we've got 60+ publications across 40 disease areas, and we just had our first FDA approval that included our data in the submission. The Opportunity As our first AI Tools Engineer, your mission is to enable PicnicHealth to operate dramatically more effectively with AI. You’ll identify promising AI tools, quickly prototype integrations, build robust yet lightweight workflows, and ensure these tools reliably enhance day-to-day work across every function. Your success will be measured by how effectively your teammates adopt these tools, automate routine tasks, and focus their energy on high-value work. What You’ll Do Discover, test, and deploy AI SaaS products: Rapidly evaluate tools and roll out those that provide immediate impact. Build streamlined workflows and agents: Use no-code/low-code platforms (Retool, Gumloop, Zapier) or deploy quick Python/TypeScript services on platforms like Cloud Run or Vercel when needed. Integrate widely-used tools: Ensure seamless integration of PicnicHealth sources of context, e.g. Asana, Gmail, Slack, GitHub, Google Drive, Linear, BigQuery, PostgreSQL, Salesforce. Own reliability and performance: Actively monitor and ensure the uptime of AI-driven workflows. When something breaks, you'll know…

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