{"id":324665,"date":"2026-06-09T00:00:00","date_gmt":"2026-06-08T23:00:00","guid":{"rendered":"https:\/\/www.remotetribe.life\/remotejobs\/job\/frontend-developer-medical-imaging\/"},"modified":"2026-06-09T00:00:00","modified_gmt":"2026-06-08T23:00:00","slug":"frontend-developer-medical-imaging","status":"publish","type":"job_listing","link":"https:\/\/www.remotetribe.life\/remotejobs\/job\/frontend-developer-medical-imaging\/","title":{"rendered":"Frontend Developer Medical Imaging"},"content":{"rendered":"<p>Frontend Developer \u00e2\u0080\u0093 Medical Imaging (DICOM , OHIF , PACS)<\/p>\n<p><strong>Job Description<\/p>\n<p><\/strong>At NeuroDiscovery AI, we have solved the neurology recruitment crisis, unlocked comprehensive real-world data access, and accelerated real-world evidence generation. While competitors take 6\u00e2\u0080\u009318 months to fill trials, we deliver qualified patients in weeks, instant real-world data access, and actionable evidence in days through our proprietary NeuroLLM trained on 5M+ patient records with 1.5M+ active patients.<\/p>\n<p>NeuroDiscovery AI is seeking a Frontend Developer with deep, hands-on experience in medical imaging technology\u00e2\u0080\u0094specifically DICOM, OHIF, Orthanc, and PACS integrations. This is not a general frontend role; we are exclusively looking for engineers who have previously built, customized, or integrated clinical imaging viewers or PACS systems. You will play a critical role in building next-generation imaging interfaces that power neurological AI workflows, multimodal research, and patient analytics at scale.<\/p>\n<p><strong>Job Responsibilities<\/p>\n<p><\/strong><\/p>\n<ul>\n<li>Design, develop, test, and deploy user interfaces for advanced medical imaging platforms using modern web technologies (React.js, Next.js, JavaScript,TypeScript, HTML5, CSS3).<\/li>\n<li>Customize, extend, and optimize DICOM imaging viewers such as OHIF Viewer or CornerstoneJS for visualization, manipulation, and interpretation workflows.<\/li>\n<li>Integrate Orthanc or other PACS servers to support secure retrieval, streaming, and querying of imaging studies.<\/li>\n<li>Implement and optimize LLM-powered features within the imaging viewer \u00e2\u0080\u0094 such as natural language search, study summarization, annotation extraction, and intelligent workflow assistance.<\/li>\n<li>Build responsive, accessible, and intuitive web applications that support the review and manipulation of DICOM and multimodality medical images.<\/li>\n<li>Integrate frontend applications with backend services and PACS systems via RESTful APIs, ensuring secure and reliable data exchange.<\/li>\n<li>Collaborate with UI,UX designers, clinicians, AI engineers, and backend teams to translate imaging requirements into technical solutions.<\/li>\n<li>Optimize frontend applications for speed, scalability, streaming performance, and cross-browser,device compatibility.<\/li>\n<li>Conduct code reviews, write unit and integration tests, and maintain high code quality standards.<\/li>\n<li>Stay current with emerging imaging, PACS, and frontend technologies.<\/li>\n<li>Document architecture, imaging workflows, technical design decisions, and APIs, and contribute to internal knowledge sharing.<\/li>\n<li>Participate in Agile team ceremonies and engineering processes.\n<\/li>\n<\/ul>\n<p><strong>Minimum Qualifications<\/p>\n<p><\/strong>Important: Only candidates with real-world DICOM,OHIF,Orthanc,PACS experience will be considered. Please do not apply without this background.<\/p>\n<ul>\n<li>Bachelor\u00e2\u0080\u0099s or Master\u00e2\u0080\u0099s degree in Computer Science, Software Engineering, or related field.<\/li>\n<li>3+ years of frontend development experience with direct expertise in healthcare imaging systems.<\/li>\n<li>Strong, hands-on experience working with DICOM image formats and PACS servers (Orthanc, dcm4chee, or equivalent).<\/li>\n<li>Practical experience customizing or integrating OHIF Viewer, CornerstoneJS, or similar medical imaging frameworks.<\/li>\n<li>Proficient in JavaScript frameworks,libraries such as Next.js, React.js, Angular, or Vue.js.<\/li>\n<li>Strong knowledge of HTML5, CSS3, and responsive web design principles.<\/li>\n<li>Familiarity with frontend testing frameworks and CI,CD pipelines.<\/li>\n<li>Understanding of healthcare standards and data privacy regulations (HIPAA, GDPR).<\/li>\n<li>Proficiency in Git and modern development tools.<\/li>\n<li>Excellent problem-solving skills and communication capabilities.\n<\/li>\n<\/ul>\n<p><strong>Critical Skills<\/p>\n<p><\/strong><\/p>\n<ul>\n<li>Hands-on experience with OHIF Viewer, CornerstoneJS, Orthanc, PACS integrations, and clinical imaging workflows.<\/li>\n<li>Strong frontend architecture design and modular component development skills.<\/li>\n<li>Experience integrating frontend applications with REST APIs and backend imaging services.<\/li>\n<li>Knowledge of healthcare software security best practices.<\/li>\n<li>Experience with cloud platforms, Docker, or containerized deployments is a plus.<\/li>\n<li>Ability to work collaboratively in a fast-paced, high-performance environment.\n<\/li>\n<\/ul>\n<p><strong>Additional Knowledge &amp; Skills<\/p>\n<p><\/strong><\/p>\n<ul>\n<li>Familiarity with healthcare standards such as HL7 and FHIR is beneficial.<\/li>\n<li>Background in AI,ML-assisted imaging tools, neuroimaging, or clinical research platforms is a plus.<\/li>\n<li>Experience with frontend performance optimization and accessibility compliance.<\/li>\n<li>Strong attention to detail and a passion for building world-class user experiences.\n<\/li>\n<\/ul>\n<p><strong>Our Stack<\/p>\n<p><\/strong>React.js, Next.js, JavaScript (ES6+), HTML5, CSS3, DICOM viewers (OHIF Viewer, CornerstoneJS), Orthanc PACS integrations, REST APIs, Git, Docker, Cloud Platforms.<\/p>\n<p><strong>Why NeuroDiscovery AI?<\/p>\n<p><\/strong>As part of NeuroDiscovery AI, you will shape innovative solutions that meaningfully advance neurological research and patient care. We offer competitive compensation, flexible work arrangements, and a culture focused on impact and growth.<\/p>\n<p><strong>Benefits At NeuroDiscovery AI<\/p>\n<p><\/strong><\/p>\n<ul>\n<li>Higher-than-industry salary packages to reward top talent.<\/li>\n<li>Collaborate with leading experts across AI, product, imaging, and research.<\/li>\n<li>Flexible remote work setup.<\/li>\n<li>Comprehensive health insurance for you and your family.<\/li>\n<li>Generous stock option plan.<\/li>\n<li>Access to premium learning resources.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Frontend Developer \u00e2\u0080\u0093 Medical Imaging (DICOM , OHIF , PACS) Job Description At NeuroDiscovery AI, we have solved the neurology recruitment crisis, unlocked comprehensive real-world data access, and accelerated real-world&#8230;<\/p>\n","protected":false},"author":1,"featured_media":324666,"template":"","meta":{"_promoted":"","_job_location":"Bengaluru, Bengaluru, Karnataka, India","_application":"https:\/\/remoteOK.com\/remote-jobs\/remote-frontend-developer-medical-imaging-neurodiscovery-ai-1133256","_company_name":"NeuroDiscovery AI","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job-categories":[179],"job-types":[16],"job_listing_tag":[205,206,171,207],"class_list":["post-324665","job_listing","type-job_listing","status-publish","has-post-thumbnail","hentry","job_listing_category-customer-support","job_listing_type-full-time","job_listing_tag-client-service","job_listing_tag-customer-help","job_listing_tag-customer-service","job_listing_tag-support-specialist","job-type-full-time"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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