Full Stack Engineer (FE Focus)
AI Summary
Front-end focused engineer responsible for building and scaling a server-rendered React/Next.js frontend, with some backend work in FastAPI, data-heavy tables and visual analytics.
About this role
Why Atrix
Medical affairs teams at pharma companies are drowning in unstructured data—field notes from medical science liaisons, conference takeaways, real-world insights from post-market studies, scattered across dozens of sources. By the time these insights reach clinicians, they're stale. We're fixing that.
Atrix helps medical affairs teams extract insights from messy, unstructured sources and turn them into action—so emerging findings get to clinicians faster and drugs are delivered more effectively. We're working with top-20 pharma companies and winning head-to-head against larger competitors because we actually listen to customers and build what they need.
Who we are
A small, senior team with roots at Google, a16z, Plaid, and Kickstarter. Seed stage, onsite in NYC. Everyone here has built and scaled products.
The role
You'll be engineer #4 and our first dedicated frontend hire—with a clear path to leading frontend as we grow. In the meantime, you'll work across the stack: crafting responsive, server-rendered React/Next.js features, optimizing performance, and contributing to the Python services that power them.
What you'll own
Our Next.js application (SSR + SSG), including complex data tables and visual analytics handling tens of thousands of rows
Frontend architecture decisions and long-term technical direction
Product analytics strategy and tooling
Backend features in FastAPI when the work demands it
You bring
5+ years with JavaScript/TypeScript, 3+ years shipping React in production
Redux Toolkit or equivalent state management expertise
SCSS or CSS-in-JS, plus accessibility fundamentals (WCAG)
2+ years Python (any context—scripts, CLI, data pipelines, whatever)
2+ years backend development (any language)
Bonus points
React Query / TanStack Query
Experience with virtualized grids or tables
Familiarity with LangChain, LlamaIndex, or RAG patterns
Skills
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