Frontend Software Engineer

Reposted 6 Days Ago
Easy Apply
San Francisco, CA, USA
In-Office
190K-280K Annually
Mid level
Artificial Intelligence • Software • Database
The Role
Design and implement performant, scalable front-end interfaces and data visualizations for a scientific discovery platform. Build a modular design system, optimize rendering and real-time data flows, and collaborate with product and research teams to translate scientific workflows into intuitive user experiences.
Summary Generated by Built In
About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As 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.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Platform team. 

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.
Salary

$175,000 - $240,000  •  Offers equity

Why join us?
  • Competitive salary and equity
  • Full healthcare coverage — we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • 401(k) company matching
  • $300 health and wellness benefit
  • Lunch is on us every day you're in the office, and dinner is on us when you're working late
  • Regular team offsites and company events
  • A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

Top Skills

D3.Js
Deck.Gl
GraphQL
JavaScript
React
Three.Js
Typescript
Websockets
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The Company
HQ: San Francisco, California
47 Employees
Year Founded: 2025

What We Do

Spun out from FutureHouse in 2025, Edison Scientific accelerates discovery and innovation across the sciences. Our platform empowers researchers to move from question to breakthrough faster than ever, automating literature synthesis, data analysis, and molecular design. At its core is Kosmos, our AI scientist, capable of running hundreds of research tasks in parallel. It transforms raw datasets into comprehensive, validated reports—compressing months of work into a single run. With Edison Scientific, scientists remain in control, using AI to amplify their expertise and accelerate discovery at unprecedented speed.

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