Software Engineers, Medical Imaging

<p>We’re on a mission to change the future of clinical research. At Perceptive, we help the<br />biopharmaceutical industry bring medical treatments to the market, faster.<br />Our mission is to change the world but to do this, we need people like you.</p><p><b>Key Responsibilities:</b></p><p><b>Supporting Activities</b></p><p><b>Cloud-Native SaaS Architecture Design</b></p><ul><li>Implement scalable, multi-tenant SaaS components using cloud-native services.</li><li>Design and develop microservices for medical imaging data processing and AI workloads.</li><li>Implement auto-scaling and load balancing features for medical imaging datasets.</li><li>Develop API endpoints and service integrations with clinical trial systems.</li><li>Support platform scalability for concurrent clinical trials and imaging workflows.</li></ul><p></p><p><b>AI-Driven Medical Imaging Platform Development</b></p><ul><li>Implement AI/ML model integrations for medical image analysis, including genAI, computer vision and deep learning algorithms.</li><li>Develop systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).</li><li>Implement DICOM-compliant data processing pipelines.</li><li>Develop efficient DICOM image preprocessing workflows for AI model preparation.</li><li>Support AI model deployment and monitoring in production environments.</li></ul><p></p><p><b>Medical Image Viewer Integration &amp; Workflow Design</b></p><ul><li>Develop integration components for third-party medical imaging viewers (OHIF, Cornerstone.js, or proprietary systems).</li><li>Implement APIs and SDK components for clinical trial management system integration.</li><li>Develop collaboration features for multi-site clinical trials.</li><li>Create visualization components for AI-generated insights and annotations.</li><li>Ensure responsive design implementation for various devices and browsers.</li></ul><p></p><p><b>Security &amp; Compliance Implementation</b></p><ul><li>Implement security features compliant with FDA 21 CFR Part 11, GxP, and medical device regulations.</li><li>Develop audit trails, electronic signatures, and data integrity controls.</li><li>Implement encryption, role-based access control, and authentication features.</li><li>Support disaster recovery and backup solutions for clinical trial data.</li></ul><p></p><p><b>Database &amp; Data Management</b></p><ul><li>Implement high-performance database solutions for DICOM metadata storage and retrieval and AI model outputs.</li><li>Develop solutions for the storage, analysis, access, and movement of large-scale medical imaging datasets.</li><li>Implement data processing pipelines for large-scale DICOM datasets.</li><li>Develop real-time data streaming components for live DICOM image analysis.</li><li>Implement data governance features ensuring data quality and privacy protection.</li></ul><p></p><p><b>Performance Optimization &amp; Monitoring</b></p><ul><li>Implement monitoring and observability components for SaaS platform performance.</li><li>Optimize system performance for medical imaging file processing and transfer.</li><li>Implement caching strategies and CDN integration for global access.</li><li>Develop automated alerting and performance monitoring features.</li><li>Support SLA compliance and platform reliability initiatives.</li></ul><p></p><p><b>Technical Development &amp; Support</b></p><ul><li>Contribute to technology stack decisions for medical imaging and AI workloads.</li><li>Support adoption of emerging technologies in medical imaging and AI/ML.</li><li>Participate in code reviews and maintain development best practices.</li><li>Support coding standards, development processes, and quality assurance.</li><li>Collaborate in technical architecture reviews and system design decisions.</li></ul><p></p><p><b>Innovation</b></p><ul><li>Take an active interest in emerging technologies in medical imaging, AI/ML, and cloud computing.</li><li>Monitor the market to gather intelligence on emerging technologies.</li></ul><ul><li>Share knowledge and insights with others.</li></ul><p></p><p><b>Other</b></p><ul><li>Carryout any other reasonable duties as requested.</li></ul><p></p><p><b>Functional Competencies (Technical knowledge/Skills):</b></p><ul><li>Knowledge of containerization and serverless architectures</li><li>Knowledge of message queuing systems for high-throughput medical data processing</li><li>Knowledge of DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb services</li><li>Knowledge of security frameworks, encryption, and identity management solutions</li></ul><ul><li>Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and clinical workflows</li><li>Knowledge of clinical trial processes, regulatory requirements, and quality management systems</li><li>Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.)</li><li>Good technical communication skills with ability to work effectively in cross-functional teams</li><li>Ability to communicate technical concepts to clinical and business stakeholders</li><li>Ability to balance technical requirements with business objectives</li></ul><ul><li>Understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profiles</li><li>Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and their specific DICOM implementations</li><li>Knowledge of clinical trial processes, regulatory requirements, and quality management systems</li><li>Familiarity with AI applications in medical imaging using DICOM datasets</li></ul><p></p><p><b>Behavior Competencies:</b></p><ul><li>Accountability</li><li>Adaptability</li><li>Customer focus</li><li>Robust</li><li>Decision Making</li><li>Business Acumen</li><li>Results orientation</li><li>Time Management</li><li>Willingness to learn</li><li>Team collaboration</li></ul><p></p><p><b>Experience, Education and Certifications:</b></p><ul><li>Substantial post-qualification software development experience with a strong track record of delivering solutions in medical imaging or healthcare technology</li><li>Experience developing cloud-native applications and SaaS components</li><li>Experience with AI/ML integration in production environments, preferably in medical imaging</li><li>Experience with regulated software development (FDA, GxP, ISO 13485) processes</li><li>Background in medical imaging file formats, processing libraries, and viewer integrations</li><li>Experience with clinical trial management systems or electronic data capture (EDC) platform.</li><li>Solid expertise in cloud platforms with a strong understanding of serverless and scalable architectures, modern cloud-native services, and integration with AI/ML services</li><li>Proficiency in developing RESTful APIs, GraphQL, and real-time communication protocols</li><li>Experience with medical imaging standards (DICOM, HL7 FHIR) and DICOM processing libraries (pydicom, DCMTK, GDCM)</li><li>Experience with DICOM standard implementation, including DICOM parsing libraries and tag manipulation</li><li>Exposure to AI/ML solutions within imaging platforms, as well as MLOps practices</li><li>Experience in database design for both relational and NoSQL systems</li><li>Experience with medical image viewer technologies and PACS integration</li><li>Experience working in regulated environments</li><li>Experience with DICOM image processing workflows, anonymization techniques, and metadata preservation</li><li>Experience with medical image viewer technologies, PACS integration, and DICOM routing workflows</li><li>Proficiency in Java, Python, or C# for backend development</li></ul>