We're seeking a full-stack Software Engineer to work on the development of our patient, partner, and company web applications.
This role is crucial in creating intuitive, efficient, and responsive user interfaces that will directly impact our users' experience and our platform's success.
As a key part of our engineering team, you will build high-performance, scalable, and accessible user interfaces that use AI to serve diverse user groups including rare disease patients, healthcare providers, researchers, and our internal teams.
You will join a team that highly leverages the latest AI coding assistants to implement features at very high velocity.
Your work will be at the heart of our mission, translating complex health data and research findings into user-friendly interfaces that empower patients, facilitate groundbreaking research, and streamline our internal operations.

0-3 years of professional software engineering experience with a track record of launching user-facing features or services.
Strength in one or more of the following:
Frontend: JavaScript/TypeScript with a modern framework (e.g., React/Vue), semantic HTML/CSS, accessibility, and performance for data-heavy UIs.
Product Engineering: Strong product sense and UX instincts; you use user needs, data, and experiments to guide decisions and iterate quickly.
Working knowledge of performance, scalability, and security fundamentals appropriate to your layer (e.g., web perf, API efficiency, data modeling, auth).
Experience with testing (e.g., Jest, React Testing Library, Cypress, PyTest) and comfort with code reviews and iterative development.
You will receive bonus points if you have:
Experience with frontend state management (e.g., Redux, MobX, Recoil) or a backend framework (e.g., Express, FastAPI, Spring, Fiber).
Familiarity with CI/CD pipelines and modern build tooling.
Proficiency with databases (SQL or NoSQL) and writing simple queries to inform product decisions.
Experience with analytics/experimentation and/or accessibility best practices.
Exposure to cloud infrastructure (AWS/GCP/Azure), containers, and observability is a plus.

Early Career Software Engineer

Key skills