Frontend Developer for AI-Driven Radiology Platform
Budget: £10 – £15 GBP
DocSmart is an innovative AI-powered platform transforming radiology workflows, with a focus on liver tumor detection from CT scans. We are in the process of developing a cloud-based Minimum Viable Product (MVP) and are seeking a skilled Frontend Developer to build a high-performance, user-friendly interface where radiologists can easily upload scans, view AI-generated results, and download detailed reports.
Key aspects of the role:
Design a responsive web interface using modern JavaScript frameworks such as React.js, Vue.js, or Angular.js (we are open to discussion on the best fit).
Integrate with backend RESTful APIs to manage CT scan uploads, real-time AI analysis, and report generation.
Ensure the interface supports interaction with DICOM medical imaging data, optimizing for performance and usability.
Implement security best practices, focusing on secure data transmission and user authentication (e.g., OAuth 2.0, JWT).
Optimize UI/UX design for a seamless user experience tailored to medical professionals.
Optional but highly attractive:
Experience with HIPAA compliance or working on projects that handle Protected Health Information (PHI). Familiarity with securing frontends that interface with healthcare systems is a plus.
This project is a chance to work with cutting-edge healthcare technology, playing a vital role in shaping the future of AI-driven medical diagnostics. You'll collaborate closely with our backend and AI teams, using the best tools and frameworks available, while having flexibility to recommend the most effective technologies to build a robust, scalable platform.
Key aspects of the role:
Design a responsive web interface using modern JavaScript frameworks such as React.js, Vue.js, or Angular.js (we are open to discussion on the best fit).
Integrate with backend RESTful APIs to manage CT scan uploads, real-time AI analysis, and report generation.
Ensure the interface supports interaction with DICOM medical imaging data, optimizing for performance and usability.
Implement security best practices, focusing on secure data transmission and user authentication (e.g., OAuth 2.0, JWT).
Optimize UI/UX design for a seamless user experience tailored to medical professionals.
Optional but highly attractive:
Experience with HIPAA compliance or working on projects that handle Protected Health Information (PHI). Familiarity with securing frontends that interface with healthcare systems is a plus.
This project is a chance to work with cutting-edge healthcare technology, playing a vital role in shaping the future of AI-driven medical diagnostics. You'll collaborate closely with our backend and AI teams, using the best tools and frameworks available, while having flexibility to recommend the most effective technologies to build a robust, scalable platform.