Job Title: Software Engineers, Medical Imaging

Company Name: Perceptive

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/mf4fvjv3fngonsui

Job Description: Posted 3mo agoSoftware Engineers, Medical Imaging@ PerceptiveView All JobsWebsiteGermany or France or United KingdomRemoteFull TimeResponsibilities:Designing cloud-native, Developing microservices, Implementing securityRequirements Summary:Develop cloud-native SaaS for medical imaging; integrate AI models; implement DICOM pipelines; ensure security and compliance; work across cloud and SaaS components.Technical Tools Mentioned:Containerization, Serverless, DICOM, pydicom, DCMTK, GDCM, REST, GraphQL, AI/ML, Cloud platforms
We’re on a mission to change the future of clinical research. At Perceptive, we help thebiopharmaceutical industry bring medical treatments to the market, faster.Our mission is to change the world but to do this, we need people like you.Key Responsibilities:Supporting ActivitiesCloud-Native SaaS Architecture DesignImplement 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 DevelopmentImplement 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 DesignDevelop 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 ImplementationImplement 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 ManagementImplement 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 & MonitoringImplement 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 & SupportContribute 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.InnovationTake 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.OtherCarryout any other reasonable duties as requested.Functional Competencies (Technical knowledge/Skills):Knowledge of containerization and serverless architecturesKnowledge of message queuing systems for high-throughput medical data processingKnowledge of DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb servicesKnowledge of security frameworks, encryption, and identity management solutionsUnderstanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and clinical workflowsKnowledge of clinical trial processes, regulatory requirements, and quality management systemsFamiliarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.)Good technical communication skills with ability to work effectively in cross-functional teamsAbility to communicate technical concepts to clinical and business stakeholdersAbility to balance technical requirements with business objectivesUnderstanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profilesUnderstanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and their specific DICOM implementationsKnowledge of clinical trial processes, regulatory requirements, and quality management systemsFamiliarity with AI applications in medical imaging using DICOM datasetsBehavior Competencies:AccountabilityAdaptabilityCustomer focusRobustDecision MakingBusiness AcumenResults orientationTime ManagementWillingness to learnTeam collaborationExperience, Education and Certifications:Substantial post-qualification software development experience with a strong track record of delivering solutions in medical imaging or healthcare technologyExperience developing cloud-native applications and SaaS componentsExperience with AI/ML integration in production environments, preferably in medical imagingExperience with regulated software development (FDA, GxP, ISO 13485) processesBackground in medical imaging file formats, processing libraries, and viewer integrationsExperience with clinical trial management systems or electronic data capture (EDC) platform.Solid expertise in cloud platforms with a strong understanding of serverless and scalable architectures, modern cloud-native services, and integration with AI/ML servicesProficiency in developing RESTful APIs, GraphQL, and real-time communication protocolsExperience with medical imaging standards (DICOM, HL7 FHIR) and DICOM processing libraries (pydicom, DCMTK, GDCM)Experience with DICOM standard implementation, including DICOM parsing libraries and tag manipulationExposure to AI/ML solutions within imaging platforms, as well as MLOps practicesExperience in database design for both relational and NoSQL systemsExperience with medical image viewer technologies and PACS integrationExperience working in regulated environmentsExperience with DICOM image processing workflows, anonymization techniques, and metadata preservationExperience with medical image viewer technologies, PACS integration, and DICOM routing workflowsProficiency in Java, Python, or C# for backend development