Senior UX Developer (NIH Data Lakehouse Support)

๐Ÿข General Dynamics Information Technology ยท all General Dynamics Information Technology jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 110,500 - 149,500 / annual
๐Ÿ“… Posted 2026-08-12 ยท via Himalayas
๐Ÿท UX-Development,UX-Design,Frontend-Engineer,UI-Engineering,Product-Design,Senior-UX-Engineer,Senior-UX-Designer,Product-Designer,UI-UX-Designer
Apply on original site โ†—

Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None Public Trust/Other Required:
NACLC (T3)
Job Family:
Software Engineering Job Qualifications:
Skills:
Design, User Experience (UX) Design, User Interface (UI) Design Certifications:
None Experience:
5 + years of related experience US Citizenship Required:
No
Job Description:
Senior Front-End Product Engineer
React + UX + Data & AI Experiences

Build the front door to biomedical discovery.
LOCATION : Remote Eligible
CLEARANCE : Public Trust or ability to obtain one
MISSION PARTNER : National Institutes of Health
YOUR IMPACT

What happens when biomedical data, modern AI, and exceptional product craft meet? The hard thing becomes clear, fast, and trustworthy.

GDIT is looking for a senior front-end product engineer who can take an ambiguous mission problem from first conversation to production - and keep improving it after launch. This is an engineering-first role for someone who is equally comfortable interviewing users, sketching a flow, challenging a product assumption, designing an interaction model, and shipping a high-performance React application used by thousands of people or more.

You will build data-rich and AI-enabled mission applications for the National Institutes of Health. You will not simply receive a mockup and turn it into code. You will help define the product: personas, journeys, information architecture, prototypes, design system, front-end architecture, delivery plan, telemetry, and production operations. The work will deploy across Azure, AWS, and Databricks Apps.

Our goal: users should feel that a difficult mission workflow just became obvious.
THE ROLE

This role lives at the intersection of product design, UX research, front-end architecture, data visualization, AI interaction design, and cloud delivery. You will partner with NIH mission stakeholders, domain experts, product leaders, designers, data scientists, AI engineers, back-end engineers, and platform teams to decide what should be built and then make it real.

You will move fast, but not recklessly. You will use prototypes and evidence to reduce ambiguity, make thoughtful tradeoffs, and take responsibility for the quality, accessibility, security, reliability, and impact of what reaches users.

This is not a handoff role. It is an ownership role.
MEANINGFUL WORK AND PERSONAL IMPACT

- Lead human-centered discovery through interviews, contextual inquiry, workflow observation, task analysis, and collaborative workshops with mission users and stakeholders.

- Turn research into clear personas, jobs-to-be-done, journey maps, service blueprints, information architecture, task flows, and product hypotheses.

- Prototype at the speed of learning - from sketches and Figma concepts to high-fidelity coded prototypes - and use feedback to decide what deserves production investment.

- Plan and facilitate usability studies, accessibility reviews, design critiques, and behavioral analysis; translate findings into prioritized product and engineering decisions.

Engineer the product

- Architect and build production React and Next.js applications using TypeScript, the App Router, Server Components, Server Functions, streaming, modern caching, and intentionally small client-side boundaries.

- Create responsive, adaptive, accessible interfaces using semantic HTML, modern CSS, Tailwind CSS, design tokens, accessible component primitives, and purposeful motion.

- Build data-intensive experiences - dashboards, exploratory search, complex forms, virtualized tables, visual analytics, collaboration workflows, and real-time or streaming interfaces - without making users wrestle with the data model.

- Design AI-native experiences such as copilots, RAG and agentic workflows, assisted analysis, and generative interfaces with streaming feedback, source attribution, provenance, clear limitations, human approval points, and graceful

โ† All remote jobs