OHIF, Senior Software Engineer, Medical Imaging

Job Summary


Key Responsibilities

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.

Other

• Carryout any other reasonable duties as requested.

Functional Competencies (Technical knowledge/Skills)

• Containerization and serverless architectures
• DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb services
• Security frameworks, encryption, and identity management solutions
• Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and clinical workflows
• Clinical trial processes, regulatory requirements, and quality management systems
• Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.)
• Understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profiles
• Familiarity with AI applications in medical imaging using DICOM datasets

Behavior Competencies

• Accountability
• Adaptability
• Customer focus
• Robust
• Decision making
• Business acumen
• Results orientation
• Time management
• Willingness to learn
• Team collaboration

Experience, Education and Certifications

• Substantial post-qualification software development experience

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