Senior UX Developer (NIH Data Lakehouse Support)

About the role

We are looking for a Senior UX Developer to support the NIH Data Lakehouse. This role sits at the intersection of human-centered design, data-intensive workflows, and front-end engineering.

Responsibilities

• UX/UI Design
• Lead human-centered design efforts for lakehouse workflows, from discovery through delivery
• Conduct user research, usability testing, and stakeholder interviews to inform design decisions
• Create wireframes, prototypes, journey maps, user flows, and interaction models for data search, filtering, access, and review experiences
• Design interfaces that help users understand complex data, metadata, permissions, and status information with clarity and confidence
• Advocate for accessibility, inclusivity, privacy-aware design, and Section 508 compliance
• Front-End Engineering
• Build high-quality, scalable UI components and features that support lakehouse workflows and dashboards
• Implement responsive, performant, and maintainable front-end architecture
• Collaborate with engineers to ensure design fidelity, technical feasibility, and consistency across the platform
• Integrate with GraphQL APIs, search services, and other backend systems that power data lakehouse use experiences
• Contribute to design systems, component libraries, and front-end best practices for platform-wide reuse

Qualifications

• 5–8+ years of experience in UX design, front-end development, or a hybrid role
• Strong portfolio demonstrating human-centered design thinking and shipped digital products or data platform experiences
• Proficiency with modern front-end technologies, including: React, Next.js, GraphQL / GQL, TypeScript, and component-based architecture
• Experience conducting user research and translating insights into actionable design decisions
• Experience creating prototypes in relevant design or product tools
• Strong understanding of interaction design, information architecture, usability principles, and complex workflow design
• Preferred Qualifications:
• Experience supporting scientific, research, healthcare, or public-sector data platforms
• Experience with design systems at an enterprise scale
• Knowledge of performance optimization, SSR/ISR, and modern rendering strategies
• Experience designing engagement mechanisms, gamification features, or incentive-based user experiences that encourage platform adoption, data stewardship, collaboration, training completion, and effective use of enterprise data platforms
• Experience supporting Federal, HHS OpDiv, or NIH programs preferred
• Section 508 experience