About the role

AI summarised

We are seeking a Staff Software Engineer - Full Stack to design, develop, and maintain high-performance visualization tools for large-scale, high-dimensional data used by internal teams and field users. The role involves contributing to new platform features, maintaining existing applications, collaborating with scientists and engineers, and ensuring code quality through best practices and testing. Candidates should have extensive full-stack experience, strong collaboration skills, and a background in handling performance-sensitive data applications.

BiotechOnsite

Key Responsibilities

Design, develop, and maintain high‑performance visualization tools capable of handling large‑scale, high‑dimensional data
Contribute to the architecture and implementation of new visualization features and workflows that support internal development and field use
Maintain and improve existing visualization applications to ensure reliability, performance, and usability
Collaborate closely with scientists, engineers, and other stakeholders to translate complex data and requirements into intuitive visual representations
Diagnose and resolve performance, scalability, and usability issues in production visualization software
Write clear, maintainable, and well‑tested code following established software engineering best practices
Develop and enhance automated integration system, test framework and unit tests

Requirements

Experience developing production‑quality software in one or more modern programming languages
Experience with data visualization, UI/UX for technical users, or interactive data exploration tools
Familiarity with handling large datasets and performance‑sensitive applications
Familiarity with AI-assisted development tool (e.g. Github Copilot, Cursor)
Ability to work effectively in a collaborative, multidisciplinary environment
Extensive experience developing front-end user interfaces with Angular/React, TypeScript, WebGL, WebAssembly, CSS
Extensive experience developing back-end microservices (e.g. Python, C#)
Proficiency in desktop and web application development (such as Electron, etc)
Proficient with source control management repositories (such as GIT, SVN, etc.)
Experience building AI-driven interfaces that translate complex model outputs into intuitive, actionable UI components and data visualizations