Senior Full Stack Engineer

Axle•Rockville, MD

About The Position

Axle is seeking a Senior Full Stack Engineer, Health Data Platforms to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS). Join the team at the forefront of revolutionizing medical research in the United States. We are building and maintaining the foundational infrastructure of the National Clinical Cohort Collaborative (N3C), the nation’s largest and most significant public repository of harmonized electronic health record (EHR) data. This isn't just a database. It's a living ecosystem. And to make it work, we need a world-class "front end" for science. The Opportunity: Your Impact We are looking for an exceptional Senior Full Stack Engineer to be part of the team that builds and owns the entire ecosystem of applications that researchers, institutional administrators, and federal partners will use to interact with N3C. This is not a simple website role. You will be the architect of a suite of sophisticated, secure, and data-intensive web applications from the ground up. You will develop: The Data Access Management Environment (DAME): The "command center" for all data access. This complex portal will manage user registration, institutional multi-tenancy (allowing institutions to manage their own users), and the end-to-end workflow for Data Access Requests (DARs). The Phenotype Builder & Concept Set Explorer: A powerful analytics tool, inspired by platforms like OHDSI's Atlas, that allows researchers to interactively build and test cohort logic against real, aggregate data, while ensuring strict data privacy. The Community & Education Portals: The public face of N3C, where you will build the dashboards, content pages, and training modules that explain the platform's governance, structure, and capabilities to the entire research community. If you are a builder who thrives on designing complex, user-centric systems and wants to create the software that directly enables life-saving research, we want to talk to you.

Requirements

A passion for building high-quality, user-facing applications that solve complex, meaningful problems.
Bachelor's or Master's degree in Computer Science or a related field, with 8+ years of professional full-stack development experience.
Expert-level proficiency with a modern backend framework (e.g., Python-based like FastAPI or Node.js-based like NestJS).
Expert-level proficiency with a modern, component-based frontend framework (e.g., Angular, React, Vue, or Svelte).
Demonstrable experience building, scaling, and maintaining complex, secure web applications, especially those handling user authentication/authorization, multi-tenancy, and complex workflows.
Strong experience with SQL databases (e.g., PostgreSQL) and designing data models for application state and logging.
Deep knowledge of the full SDLC, including CI/CD pipelines, containerization (Docker), container orchestration (Kubernetes), and Git.

Nice To Haves

Experience in the healthcare, life sciences, or clinical research domain.
Direct experience with OHDSI tools (especially Atlas) or building other cohort exploration or phenotype-building applications.
Familiarity with health data standards (e.g., OMOP, FHIR) and interoperability challenges.
Experience designing and building applications for a multi-tenant, cloud-native environment (AWS, GCP, Azure).
A strong understanding of UI/UX design principles and a portfolio of intuitive applications.

Responsibilities

Lead End-to-End Development: Own the complete design, development, and deployment of the DAME, the Phenotype Builder, and all associated web platforms.
Architect a Secure Backend: Engineer a robust, API-driven backend to manage complex business logic, including user authentication, authorization, multi-tenant permissions, and intricate data access workflows.
Build an Intuitive Frontend: Create a modern, responsive, and state-of-the-art user interface for all applications, focusing on UI/UX best practices to make complex data and workflows understandable and easy to manage.
Engineer Data-Intensive Applications: Design the Phenotype Builder to interact with large-scale aggregate data, providing researchers with near-real-time feedback while maintaining strict privacy controls.
Manage the Full SDLC: Drive development using Agile sprint cycles, implement comprehensive automated testing, manage deployments through CI/CD pipelines across all environments, and own all four pillars of production maintenance (corrective, adaptive, perfective, and preventative).
Integrate and Collaborate: Work with platform vendors to define and test requirements for core "Dynamic Workspace" infrastructure, and manage core application databases for master lists of agreements, IRBs, and sites.