Sr. UX Engineer
ScienceLogicSalary not specified
- Full Time
- Senior (5 to 8 years)
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