Senior Front-end Engineer

About TetraScience

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.

In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members who authentically and unconditionally embrace our values:

• Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.
• Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
• Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.
• Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
• Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things.
• Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages.

We are looking for a Senior Front-end Engineer to design and build modern, high-impact scientific data applications using React as the main front-end framework. This role focuses on developing intuitive, performant front-end experiences for interacting with complex experimental, instrumental, and analytical data in the R&D phase.

You will work closely with product managers, data engineers, scientists, and UX designers to translate scientific workflows into robust web applications. This is a senior-level role with strong ownership, technical leadership, and architectural influence.

• Design and develop production-grade React-based applications for scientific and data-intensive use cases
• Build Streamlit-based applications for rapid prototyping, internal tools, and scientist-facing analytics workflows
• Translate complex scientific data models (e.g., time series, metadata-rich datasets, ontologies) into intuitive UIs
• Collaborate with data engineers and data platform teams to integrate APIs, data pipelines, and analytics services
• Optimize application performance for large datasets and high-frequency interactions
• Promote front-end development best practices: create reusable front-end components, state management, testing, and observability
• Partner with product managers and UX designers to refine requirements and deliver exceptional user experiences
• Work closely with external stakeholders and end users to understand their requirements and whiteboard wireframes. Demonstrate new features and collect feedback.
• Mentor junior engineers and provide technical leadership through code reviews and design discussions

• 6+ years of professional experience building modern web applications. Experience building enterprise products is preferred.
• Deep expertise in React, TypeScript, and modern front-end patterns
• Strong experience with data-heavy UI development (tables, charts, dashboards, workflows)
• Hands-on experience with Streamlit or Plotly Dash for data apps, dashboards, or scientific tools is preferred
• Solid understanding of REST and/or GraphQL APIs
• Experience working with complex data models and large-scale datasets
• Strong testing discipline (unit, integration, and UI testing)
• Excellent communication skills and ability to collaborate across disciplines
• Experience with cloud-native architectures (AWS preferred)
• Comfortable working with external customers and demonstrating new features in front of the customers and end users

• Experience building data applications for life sciences, biotech, and pharmaceutical companies
• Familiarity with scientific data types (instrument data, assay data, time series, metadata/ontology-driven data)
• Experience with data visualization libraries (e.g., D3, Vega, Plotly, Recharts)
• Exposure to Python-based data stacks (Pandas, NumPy) and Jupyter/Streamlit ecosystems
• Familiarity with design systems and accessibility best practices

• Scientists and data teams can easily explore, validate, and contextualize their data
• Front-end systems scale gracefully as data volume and complexity grow
• New scientific workflows can be delivered quickly without sacrificing quality
• Front-end architecture is maintainable, testable, and a model for the broader engineering organization

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

We are not currently providing visa sponsorship for this position