Job Purpose
As a Principal Software Engineer for Medical Imaging, you’ll lead the way in designing and building secure, scalable cloud solutions that transform how clinical trials handle medical images. You’ll set the technical direction for cloud architecture, DICOM workflows, and AI/ML integration, ensuring everything meets the highest standards for security and compliance. Your expertise will drive innovation and shape the future of medical imaging technology.
Key Responsibilities
Cloud-Native SaaS Architecture Design
* Design and implement scalable, multi-tenant SaaS architectures using cloud-native services.
* Architect microservices-based systems optimized for medical imaging data processing and AI workloads.
* Implement auto-scaling, load balancing, and distributed computing strategies for handling large medical imaging datasets.
* Design secure API-first services for seamless integration with clinical trial systems.
* Ensure platform scalability to support multiple concurrent clinical trials and imaging workflows.
AI-Driven Medical Imaging Platform Development
* Lead the integration of AI/ML models for medical image analysis, including genAI, agentic AI, computer vision, and deep learning algorithms.
* Design and implement systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).
* Design and implement DICOM-compliant data processing pipelines.
* Design and implement efficient DICOM image preprocessing workflows.
* Support deployment and monitoring in production environments.
Medical Image Viewer Integration & Workflow Design
* Architect and implement integration layers for third-party medical imaging viewers (OHIF, Cornerstone.js, or proprietary systems).
* Design and implement APIs and SDKs for seamless integration with existing clinical trial management systems.
* Implement real-time collaboration features for multi-site clinical trials.
* Develop custom visualization tools for AI-generated insights and annotations.
* Ensure cross-platform compatibility and responsive design for various devices and browsers.
Regulatory Compliance & Security Architecture
* Design and implement systems compliant with FDA 21 CFR Part 11, GxP, HIPAA, and international medical device regulations.
* Implement comprehensive audit trails, electronic signatures, and data integrity controls.
* Architect security frameworks including encryption at rest and in transit, role-based access control, and secure authentication.
* Design disaster recovery and business continuity solutions for critical clinical trial data.
* Ensure compliance with medical data privacy regulations across multiple jurisdictions.
Database & Data Architecture for Medical Imaging
* Design high-performance database architectures optimized for medical imaging metadata and AI model outputs.
* Implement solutions for the storage, analysis, access, and movement of large-scale medical imaging datasets.
* Design efficient data partitioning and indexing strategies for multi-dimensional medical data.
* Architect real-time data streaming solutions for live imaging analysis.
* Implement data governance frameworks ensuring data quality and lineage tracking.
Performance Optimization & Monitoring
* Design and implement comprehensive monitoring and observability solutions for SaaS platform performance.
* Optimize system performance for large medical imaging secure file processing and transfer.
* Implement caching strategies and CDN solutions for global clinical trial site access.
* Establish SLAs and implement automated alerting systems for platform reliability.
Technical Leadership
* Engage in technical decisions on technology stack selection for medical imaging and AI workloads, in collaboration with the Solution Architect.
* Mentor team members to foster their professional, technical, and domain growth and development.
* Establish and enforce coding standards, development processes, and quality assurance practices via code reviews, inspection, and discussion.
* Join technical architecture reviews and provide guidance on complex system design decisions.
* Lead by example, demonstrating strong technical leadership skills and fostering a collaborative and innovative team environment.
Innovation
* Drive adoption of 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.
Technical Knowledge and Skills
* Deep understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profiles.
* Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and their specific DICOM implementations.
* Knowledge of message queuing systems for high-throughput medical data processing.
* Knowledge of clinical trial processes, regulatory requirements, and quality management systems.
* Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.) using DICOM datasets.
* Knowledge of containerization and serverless architectures.
* Proficiency in designing and implementing APIs (e.g., RESTful, GraphQL) and real-time communication protocols.
* Advanced-level knowledge of DICOMweb services.
* Knowledge and experience with enabling AI/ML solutions within imaging platforms, as well as MLOps practices.
* Advanced knowledge of security frameworks, encryption, and identity management solutions.
* Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and imaging clinical workflows.
* Knowledge of clinical trial processes, regulatory requirements, and quality management systems.
* Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.).
* Excellent technical leadership and mentoring capabilities.
* Strong stakeholder management skills with the ability to communicate complex technical concepts to product and business teams.
* Experience leading cross-functional teams in regulated environments.
* Proven ability to balance technical excellence with business objectives and regulatory requirements.
