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Salary: USD 175,000 - 240,000 / annual
Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. The company is run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
As a Frontend Engineer on the App team, you will architect, design, implement, and optimize the front-end for the scientific discovery platform, with a focus on performance and scalable UI patterns. You will translate complex AI-driven scientific workflows into clear, intuitive, and well-signposted user experiences that empower scientists to integrate AI into their discovery process.
Key responsibilities include:
- Architecting and optimizing the front-end for the scientific discovery platform with emphasis on performance and scalable UI patterns
- Translating complex AI-driven scientific workflows into intuitive user experiences
- Working closely with product and research teams to anticipate user needs and features
- Developing and maintaining a modular design system
- Profiling and optimizing rendering performance, asset loading, and interaction responsiveness across browsers and devices
- Integrating real-time data visualizations and dynamic interfaces
- Conducting code reviews, enforcing engineering best practices, and contributing to front-end architecture decisions
The role is on-site at the San Francisco office in the Dogpatch neighborhood, housed in a converted warehouse with high ceilings and open space.
REQUIREMENTS:
- 4+ years of professional experience in front-end engineering with a track record of shipping performant, complex, and data visualization-heavy web applications
- Deep experience in JavaScript, React.js, and 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 and interfaces
- Experience building design systems and reusable component libraries
- Knowledge of accessibility standards and responsive design principles
PREFERRED QUALIFICATIONS:
- Experience with scientific data visualization, computational biology, or AI/ML tools
- Familiarity with back-end integration patterns for high-throughput data pipelines
