Full Stack Engineer

Company Description Path-iQ is a health technology company focused on transforming pathology workflows from traditional, fragmented processes into a unified, digital-first environment powered by artificial intelligence. The platform supports AI-assisted analysis of histopathology images, cloud-based case access and collaboration, and scalable, workflow-driven diagnostics. Path-iQ is committed to making cancer diagnosis faster, more accessible, and more consistent, regardless of location. By building the infrastructure layer for the future of pathology, the company enables digital workflows and AI-driven insights that support better clinical outcomes for patients and providers.
Role Description This is a remote contract role for a Full Stack Engineer. The engineer will design, develop, and maintain features across both front-end and back-end components of Path-iQ's web-based platform. Day-to-day responsibilities include implementing user interfaces, building and optimizing APIs, integrating AI-driven services, and ensuring secure, scalable, and reliable application performance. The role also involves collaborating with product, data, and clinical teams to translate requirements into technical solutions, writing clean and testable code, and participating in code reviews and continuous improvement of the development workflow.
Qualifications

• Strong skills in Full-Stack Development and Software Development, with experience delivering production-grade web applications.
• Proficiency in Back-End Web Development, including API design, server-side frameworks, and database integration.
• Experience with Front-End Development and Cascading Style Sheets (CSS) to create responsive, accessible, and user-friendly interfaces.
• Knowledge of modern web technologies, version control (e.g., Git), and CI/CD practices.
• Ability to work independently in a remote environment and collaborate effectively with cross-functional teams.
• Experience with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (e.g., Docker, Kubernetes) is beneficial.
• Background in healthcare, medical imaging, or AI-driven products is a plus but not required.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.