AboutEdison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse's mission to build an AI Scientist- scaling autonomous research, productizing it, and applying it to critical challenges such as drug development.
RoleAs a
Frontend Engineer, you will help build our "integrated research environment" and design a UX that empowers scientists to integrate AI into their discovery process.
Responsibilities- Architect, design, implement, and optimize the front-end for our scientific discovery platform with a focus on performance and scalable UI patterns.
- Translate complex AI-driven scientific workflows into clear, intuitive, and well-signposted user experiences.
- Work closely with product and research teams to anticipate user needs and features.
- Develop and maintain a modular design system.
- Profile and optimize rendering performance, asset loading, and interaction responsiveness across browsers and devices.
- Integrate real-time data visualizations and dynamic interfaces to empower scientists on our platform.
- Conduct code reviews, enforce engineering best practices, and contribute to front-end architecture decisions.
Qualifications- 4+ years of professional experience in front-end engineering, with a track record of shipping performant, complex, and data visualization-heavy web applications.
- Proficiency with React (preferred) or a comparable framework, along with deep experience in JavaScript/TypeScript.
- Strong understanding of browser rendering pipelines, performance profiling, and optimization techniques.
- Experience with real-time data handling (e.g., WebSockets, GraphQL subscriptions) and interactive visualizations (e.g., D3.js, Deck.gl, Three.js).
- Ability to transform technical and scientific requirements into elegant, usable visualizations & interfaces.
- Experience building design systems and reusable component libraries.
- Knowledge of accessibility standards and responsive design principles.
Bonus points for:- Experience with scientific data visualization, computational biology, or AI/ML tools.
- Familiarity with back-end integration patterns for high-throughput data pipelines.
Location + Compensation- Collaboration is at the heart of discovery. We work on-site to stay close to the science, move faster as a team, and share the kind of energy that only happens when smart, curious people build together- in a space that we love to be in!
- Location: San Francisco (Dogpatch)
- At Edison Scientific, we know that titles can cover a range of experience levels. Actual base pay will depend on factors such as skills, experience, and scope of responsibility. Compensation ranges may evolve as we continue to grow. In addition to base pay, team members may be eligible for equity, benefits, and other perks.
