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Join a leading scientific data and AI cloud company as a UX Designer, driving innovative AI-powered solutions through user-centric design. In this role, you'll leverage over a decade of design experience, collaborating closely with scientists and product teams to create intuitive interfaces that optimize lab workflows. Enjoy benefits like 100% employer-paid insurance, unlimited PTO, and flexible work arrangements in a culture that fosters continuous improvement.
TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes.
TetraScience is a category leader in this vital new market, generating more revenue than all other companies combined. Recently, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. Latest News and Announcements | TetraScience Newsroom
As part of your application process, you will be asked to review the Tetra Way letter, authored by Patrick Grady, our co-founder and CEO. This document is essential in helping you understand whether TetraScience aligns with your values and ethos. We encourage you to reflect on it thoroughly, as embodying its principles is expected if you join our team.
Design AI-Powered Scientific Workflows (60-80% hands-on): Lead end-to-end UX design for AI-driven features, including wireframes, prototypes, and high-fidelity interfaces that integrate scientific data inputs (e.g., assays, instruments, ELN/LIMS) with AI model outputs. Collaborate with platform and science teams to translate algorithmic decision-making processes into intuitive user interactions.
Strategic Vision & Cross-Functional Leadership: Partner with product managers and scientific stakeholders to define UX roadmaps that align with platform adoption goals. Advocate for user-centric design in AI product development, balancing technical feasibility with scientific user needs.
Customer-Facing Research & Validation: Conduct lightweight user research directly with pharmaceutical clients to identify pain points in lab workflows. Rapidly prototype solutions and iterate based on stakeholder feedback, prioritizing high-impact improvements.
Evolving Design Systems: Enhance existing design patterns and components to ensure consistency across AI-driven features, focusing on scalability for enterprise scientific users.
Preferred Qualifications
Benefits (US)
Note: We are not currently providing visa sponsorship for this position.