What are the responsibilities and job description for the Senior UX Designer, Scientific AI position at TetraScience?
Who We Are
TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by industrializing the production of AI-native scientific data and AI-enabled use cases across the value chain.
TetraScience is the category leader in this vital new market. 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:
In connection with your candidacy, you will be asked to carefully review the Tetra Way Letter, authored directly by Patrick Grady, our CEO. This letter is designed to assist you in better understanding whether TetraScience's values and ethos are the right fit for you.
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 daily.
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 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.
Requirements
What You Have Done
TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by industrializing the production of AI-native scientific data and AI-enabled use cases across the value chain.
TetraScience is the category leader in this vital new market. 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:
In connection with your candidacy, you will be asked to carefully review the Tetra Way Letter, authored directly by Patrick Grady, our CEO. This letter is designed to assist you in better understanding whether TetraScience's values and ethos are the right fit for you.
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 daily.
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 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.
Requirements
What You Have Done
- 6 years of UX design experience, with 1 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 (e.g. GxP)
- 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.
- This role follows a hybrid work model, with an expectation of being onsite at the client's office 2-3 days per week
- A culture of continuous improvement where you can grow your career and get coaching
- 100% employer-paid benefits for all eligible employees and immediate family members
- Unlimited paid time off (PTO)
- 401K
- Company paid Life Insurance, LTD/STD