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Niche medical-imaging and regulated-software specialization reduces applicant density.
Strong medical-imaging, DICOM, and regulated-software requirements limit cross-industry transferability.
Multiple mandatory niche requirements (DICOM, FDA/GxP, cloud, AI/ML, Java) tighten screening.
Design and develop scalable, secure, cloud-native SaaS components and microservices for medical imaging workflows in clinical trials.
Implement AI/ML integrations including real-time and batch processing of medical imaging data (DICOM, NIfTI) and develop DICOM-compliant data pipelines.
Ensure regulatory compliance with FDA 21 CFR Part 11, GxP, and medical device regulations including security features, audit trails, and data governance.
Substantial post-qualification software development experience with a strong track record in medical imaging or healthcare technology.
Experience in cloud-native application development, AI/ML integration in production, and regulated software processes (FDA, GxP, ISO 13485).
Proficiency in Java, J2EE, and expertise in medical imaging standards (DICOM, HL7 FHIR) and viewer integrations.
Work Experience Required: Substantial software development experience; exact years not explicitly mentioned in the JD.
Experienced in designing and operating cloud-native, serverless, multi-tenant SaaS platforms within regulated healthcare environments.
Technical expertise in medical imaging modalities (CT, MRI, PET, Ultrasound) and deep integration of AI/ML into imaging workflows.
Strong background in compliance-driven software development with hands-on knowledge of medical imaging data standards, security frameworks, and clinical trial systems.
