Software Engineer
Company: PicnicHealth
Location: San Francisco, CA (Remote)
Type: Full-time
Level: mid
Remote: Yes
Posted: 2026-03-11
About this role
At PicnicHealth, we're building the future of non-interventional clinical research, powered by AI and centered on patients. Our mission is to make it radically easier, faster, and more affordable to perform clinical trials and get better treatments to patients. We're replacing the legacy, services-heavy model with a modern, AI-first approach that unlocks insights from rich, multi-modal data—from clinical notes and imaging to lab results—at scale. By engaging patients directly through our personal health assistant, PicnicAI, which meets them where they’re at and delights them along the way (with an industry leading NPS of 76), patients participate actively in the research they care about.
PicnicHealth is already a trusted partner to 7 of the top 10 pharmaceutical companies. Our work spans 40+ disease areas and has supported over 60 peer-reviewed publications, including an FDA submission that incorporates PicnicHealth data.
Founded in 2014, we’ve raised $100M+ from top investors like Amplify Partners, Felicis Ventures, B Capital Group, and Y Combinator. Our business running non-interventional studies more than doubled last year, and we’re growing even faster in 2026. We’re a team of doctors, patients, data nerds, engineers, and builders, reimagining how clinical research works — and we’re just getting started!
The Opportunity
PicnicHealth's Platform team builds the infrastructure and developer tools that power our AI-driven clinical research platform. We're looking for engineers who combine strong infrastructure skills with product intuition—people who understand that great platform work isn't just about uptime and scale, but about accelerating the teams who ship features to patients, partners, and researchers.
AI is transforming how we build and operate, and Platform is at the center of that shift. You'll ensure our infrastructure is ready for agentic workflows, help engineering teams adopt AI-assisted development practices, and build the ...