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Lead UX Designer, Scientific AI at TetraScience. Who We Are . 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 gen lab data management solutions, scientific use cases, and AI-enabled outcomes. . TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, 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. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. . It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. . What You Will Do. 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 platofrm 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.. . 10+ years of UX design experience, with 3+ years leading AI/ML-powered enterprise platforms in life sciences, healthcare, or regulated environments.. . Portfolio demonstrating end-to-end ownership of scientific interfaces including complex data visualization, AI interface design, and workflow optimization for non-technical users . . Proven ability to influence product strategy by translating scientific workflows into AI interaction patterns (e.g., multi-model comparisons, iterative retraining interfaces).. . Experience collaborating with scientists or AI teams to design interfaces that expose model inputs/outputs, uncertainty metrics, and feedback mechanisms.. . Familiarity with life sciences workflows (e.g., assay development, computational biology) and regulated environments (GxP, FDA).. . Proficiency in Figma, Miro, or similar tools for rapid prototyping.. . Strong Communicator. You communicate clearly and persuasively in multiple mediums with product managers, engineers, stakeholders, and customers. . . Preferred Qualifications. . Advanced degree in HCI, Cognitive Science, or related field.. . Published research/presentations on AI-human collaboration in scientific contexts.. . Company Location: United States.