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About the 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.
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.
Requirements
- Typically, 5-10 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 - Reactjs, 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.
- Experience with scientific data visualization, computational biology, or AI/ML tools.
- Familiarity with back-end integration patterns for high-throughput data pipelines.
Skills
- JavaScript
- Reactjs
- TypeScript
- WebSockets
- GraphQL subscriptions
- D3.js
- Deck.gl
- Three.js
- Design systems
- Accessibility standards
- Responsive design principles
- Scientific data visualization
- Computational biology
- AI/ML tools
- Back-end integration patterns
Location
- San Francisco
Work Type
- On-site
Experience Level
- 5-10 years
Salary/Compensations
- $175,000 - $240,000
Benefits
- 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
- Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
- 12 weeks of paid parental leave for maternity, paternity, and adoption
- Pet care support with a yearly employer-funded stipend for your animal companions
- Commuter benefits so you can pay for transit and parking with pre-tax dollars
- 401(k) company matching
- $300 health and wellness benefit quarterly
- Lunch is on us every day you're in the office, and dinner is on us when you're working late
- Regular team off-sites and company events
About the Company
- Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines.
- We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
Equal Opportunity
- Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.