Frontend Software Engineer

Job Summary:

Edison Scientific builds and commercializes AI agents for science, aiming to accelerate scientific discovery. As a Frontend Engineer, you will help create an integrated research environment and design user experiences that enable scientists to leverage AI in their workflows.

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:

Required:

• 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.

Preferred:

• Experience with scientific data visualization, computational biology, or AI/ML tools.
• Familiarity with back-end integration patterns for high-throughput data pipelines.

Company:

Edison Scientific accelerates scientific discovery using an AI research platform for autonomous R&D. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.