Neon accelerates patient access to critical care by jumping through all the hoops to onboard and adhere to life-saving drugs, treatments.
This company offers remote work opportunities.
Neon Health pioneers patient access to life-saving treatments, directly addressing the systemic issues that delay or deny critical care. They automate patient access workflows for pharmaceutical companies, streamlining processes like benefits verification, prior authorization, and financial assistance. This allows patients to access therapies twice as fast and 80% cheaper, eliminating common obstacles such as high costs and complex insurance procedures. Neon Health’s AI-powered platform tackles bureaucracy so patients can receive medicine based on clinical need, not financial or administrative hurdles. Their current clients include approximately six pharmaceutical brands, and they aim to expand to health systems.
Neon Health cultivates a unique blend of mission-driven ambition and athletic intensity. You will work alongside a team that values both intention and humility, constantly honing their craft to produce exceptional work. The culture thrives on mutual support and challenge, pushing each team member to their best. While there is a strong preference for in-person collaboration, with frequent offsites in scenic locations like Tahoe and Squamish, remote opportunities are available for those who can work Pacific Standard Time hours. This setup fosters deep camaraderie and allows for focused, immersive product development.
Engineers at Neon Health build the core AI automation platform that transforms healthcare access. You will solve complex problems at the intersection of agentic AI and healthcare transformation. The team leverages Node, TypeScript, and Python, focusing on robust system design, distributed architectures, and reliability. Expect to engage with API design, implementation, and documentation. For AI systems roles, you will debug real-world agent behavior, design LLM evaluations, build agent simulators, and integrate messy client data. The work emphasizes applied AI systems, pushing the boundaries of agent capabilities in production environments.