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Collate

AI-driven documentation automation for life sciences

Frontend Software Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$158k - $325k

About the Job

Requirements

  • Strong experience building modern web applications with React, TypeScript, or similar frameworks.
  • A deep care for design, usability, and accessibility.
  • Ability to translate complex technical concepts into simple, intuitive user experiences.
  • Comfort working across the stack when needed, with a passion for owning the frontend experience.
  • A track record of shipping high-quality features quickly while maintaining technical rigor in complex systems.
  • Motivation to work in an early-stage startup where contributions directly shape the product and culture.

Responsibilities

  • Build responsive, performant web applications that make complex AI-driven healthcare data simple, accessible, and usable.
  • Collaborate with design, product, and backend engineers to bring ideas from concept to production; own testing, release software to production, and monitor it.
  • Create reusable components and frontend infrastructure that scales with the team and product.
  • Focus on interaction details, accessibility, and performance to deliver seamless user experiences.
  • Shape the look, feel, and usability of Collate’s products.
  • Partner with backend and machine learning teams to integrate APIs and models into smooth, information-rich customer interfaces.

Desired Qualifications

  • Experience with Next.js and Tailwind CSS.

About the Company

Collate

AI-driven documentation automation for life sciences

Collate provides an AI-powered platform that automates and streamlines the creation of documentation for drug development, medical devices, and diagnostics, reducing time and resources spent on regulatory paperwork. The platform auto-generates, organizes, and governs documents while offering data discovery and observability to ensure high-quality, compliant data assets. It differentiates itself by delivering end-to-end documentation and data governance for life sciences in one platform that covers drugs, devices, and diagnostics, minimizing manual work. Its goal is to accelerate bringing life-saving innovations to patients by shortening development and regulatory timelines so researchers can focus on discovery.

Company size
11-50
Company stage
Series B
Total funding
$125M
Headquarters
San Francisco, CA
Founded
2025

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