TetraScience

Lead UX Designer, Scientific AI

Boston, Massachusetts, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data & AI, Laboratory Data Management, AI-Enabled Scientific SolutionsIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Not Specified
  • Salary: Not Specified

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We are the category leader in this vital new market. In the last year, dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard.

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.
  • Evolving Design Systems:
    • Enhance existing design patterns and components to ensure consistency across AI-driven features, focusing on scalability for enterprise scientific users.

Requirements

  • 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 Information

  • 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.
  • Culture: 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.
  • Values: Candidates 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.

Benefits (US)

  • 100% employer-paid benefits for all eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401K.
  • Flexible working arrangements - Remote work.
  • Company-paid Life Insurance, LTD/STD.
  • A culture of continuous improvement where you can grow your career.

Skills

UX Design
Wireframes
Prototypes
High-Fidelity Interfaces
Scientific Data Inputs
AI Model Outputs
User-Centric Design
Cross-Functional Collaboration
Scientific Workflows
AI-Driven Features

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees

Benefits

Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.
Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.
International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.
Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.
Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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