Full-stack Engineer

• Supporting Activities Cloud-Native SaaS Architecture Design
• Implement scalable, multi-tenant SaaS components using cloud-native services.
• Design and develop microservices for medical imaging data processing and AI workloads.
• Implement auto-scaling and load balancing features for medical imaging datasets.
• Develop API endpoints and service integrations with clinical trial systems.
• Support platform scalability for concurrent clinical trials and imaging workflows.
• AI-Driven Medical Imaging Platform Development
• Implement AI/ML model integrations for medical image analysis, including genAI, computer vision and deep learning algorithms.
• Develop systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).
• Implement DICOM-compliant data processing pipelines.
• Develop efficient DICOM image preprocessing workflows for AI model preparation.
• Support AI model deployment and monitoring in production environments.
• Medical Image Viewer Integration & Workflow Design
• Develop integration components for third-party medical imaging viewers (OHIF, Cornerstone.js, or proprietary systems).
• Implement APIs and SDK components for clinical trial management system integration.
• Develop collaboration features for multi-site clinical trials.
• Create visualization components for AI-generated insights and annotations.
• Ensure responsive design implementation for various devices and browsers.
• Security & Compliance Implementation
• Implement security features compliant with FDA 21 CFR Part 11, GxP, and medical device regulations.
• Develop audit trails, electronic signatures, and data integrity controls.
• Implement encryption, role-based access control, and authentication features.
• Support disaster recovery and backup solutions for clinical trial data.
• Database & Data Management
• Implement high-performance database solutions for DICOM metadata storage and retrieval and AI model outputs.
• Develop solutions for the storage, analysis, access, and movement of large-scale medical imaging datasets.
• Implement data processing pipelines for large-scale DICOM datasets.
• Develop real-time data streaming components for live DICOM image analysis.
• Implement data governance features ensuring data quality and privacy protection.
• Performance Optimization & Monitoring
• Implement monitoring and observability components for SaaS platform performance.
• Optimize system performance for medical imaging file processing and transfer.
• Implement caching strategies and CDN integration for global access.
• Develop automated alerting and performance monitoring features.
• Support SLA compliance and platform reliability initiatives.
• Technical Development & Support
• Contribute to technology stack decisions for medical imaging and AI workloads.
• Support adoption of emerging technologies in medical imaging and AI/ML.
• Participate in code reviews and maintain development best practices.
• Support coding standards, development processes, and quality assurance.
• Collaborate in technical architecture reviews and system design decisions.
• Innovation
• Take an active interest in emerging technologies in medical imaging, AI/ML, and cloud computing.
• Monitor the market to gather intelligence on emerging technologies.
• Share knowledge and insights with others.
• Carryout any other reasonable duties as requested.

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