TetraScience

Lead UX Designer, Scientific AI

Boston, Massachusetts, United States

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

Requirements

Candidates must possess 10+ years of UX design experience, with at least 3 years leading AI/ML-powered enterprise platforms in life sciences, healthcare, or regulated environments, and a portfolio demonstrating end-to-end ownership of scientific interfaces including complex data visualization, AI interface design, and workflow optimization for non-technical users. They should have proven ability to influence product strategy by translating scientific workflows into AI interaction patterns, experience collaborating with scientists or AI teams to design interfaces that expose model inputs/outputs, uncertainty metrics, and feedback mechanisms, and familiarity with life sciences workflows (e.g., assay development, computational biology) and regulated environments (GxP, FDA). Proficiency in tools like Figma and Miro is required, along with strong communication skills.

Responsibilities

The Lead UX Designer will design AI-Powered Scientific Workflows, leading end-to-end UX design for AI-driven features including wireframes, prototypes, and high-fidelity interfaces that integrate scientific data inputs with AI model outputs, collaborating with platform and science teams to translate algorithmic decision-making processes into intuitive user interactions. They will also partner with product managers and scientific stakeholders to define UX roadmaps, advocate for user-centric design in AI product development, conduct user research directly with pharmaceutical clients, rapidly prototype solutions and iterate based on feedback, and enhance existing design patterns to ensure consistency across AI-driven features. Finally, they will evolve design systems to support scalability for enterprise scientific users.

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.

Key Metrics

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.

Land your dream remote job 3x faster with AI