Teams at UpDoc

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.

Build and maintain patient- and provider-facing applications using SvelteKit, Tailwind, and TypeScript. Develop Android and iOS progressive web applications, extend PWAs with Kotlin and Swift plugins, integrate CGMs and Apple HealthKit, and consume secure APIs. Collaborate with backend engineers, designers, and clinical experts to deliver accessible, reliable, performant, and patient-safe healthcare experiences.

Own AI-powered healthcare products from discovery through launch and iteration. Translate clinical workflows into product requirements, partner with engineering, clinical, and design teams, manage execution, define success metrics, conduct user research, and incorporate AI safely within regulatory and quality requirements. Help shape product strategy and scalable processes in an early-stage startup.