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Metro-based generalist senior engineering title with niche medical imaging requirements yields moderate competition.
Strong domain specificity (DICOM, clinical trials, regulatory) greatly limits cross-industry transferability.
Multiple mandatory domain-specific skills and regulated-software experience create highly stringent shortlisting filters.
Design and develop scalable, multi-tenant cloud-native SaaS components for medical imaging workflows in clinical trials, including microservices and API integrations.
Implement and support AI/ML integration for medical image analysis and DICOM-compliant data processing pipelines with real-time monitoring and deployment.
Ensure security and regulatory compliance (FDA 21 CFR Part 11, GxP) including audit trails, encryption, role-based access, and support platform scalability and performance optimization.
Experience required: Substantial post-qualification software development experience in medical imaging or healthcare technology.
Proficiency in Java, J2EE and experience with cloud-native architectures and AI/ML integration in production environments.
Knowledge of medical imaging standards (DICOM, HL7 FHIR), DICOM processing libraries, and regulated software development standards (FDA, GxP, ISO 13485).
Experience with medical image viewer technologies, PACS integration, and clinical trial management or electronic data capture (EDC) platforms.
Experienced software engineer with demonstrated delivery in regulated medical imaging or healthcare SaaS products, especially cloud-native and AI/ML based.
Strong understanding of medical imaging workflows, DICOM standards, and clinical trial regulatory requirements with capability to balance technical and business objectives.
Familiarity with building scalable services and secure compliant systems for high-throughput medical imaging data processing in regulated environments.