E

Edison Scientific

AI platform for scientific R&D workflows

AI Frontend Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Typically, 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, such as WebSockets and GraphQL subscriptions, and interactive visualizations, such as D3.js, Deck.gl, and 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.

Responsibilities

  • Architect, design, implement, and optimize the front-end for the scientific discovery platform, focusing 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 the platform.
  • Conduct code reviews, enforce engineering best practices, and contribute to front-end architecture decisions.

Desired Qualifications

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

About the Company

Edison Scientific

AI platform for scientific R&D workflows

Edison Scientific provides an AI-powered platform that unifies research tasks in one environment. It combines literature synthesis, data analysis, molecular design, and the creation of publication-ready figures and reports so researchers can move from hypothesis to validated results without switching between many tools. The platform uses natural language processing and machine learning to digest scientific literature and data, automate workflows, and run tasks in parallel to speed up discovery. Compared with competitors, Edison Scientific stands out by offering an integrated, end-to-end R&D workflow that links literature, data, and design in a single platform, reducing manual handoffs and enabling scalable research. The company’s goal is to streamline R&D processes, shorten the time to insight, and help organizations rapidly validate findings and publish their work.

Company size
51-200
Company stage
Seed
Total funding
$70M
Headquarters
San Francisco, CA
Founded
2025

Recently Posted Jobs

Explore more opportunities at Edison Scientific

See more jobs