Frontend Developer Medical Imaging

Frontend Developer – Medical Imaging (DICOM , OHIF , PACS)<br><br><strong>Job Description<br><br></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 6–18 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.<br><br>NeuroDiscovery AI is seeking a Frontend Developer with deep, hands-on experience in medical imaging technology—specifically 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.<br><br><strong>Job Responsibilities<br><br></strong><ul><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><li>Customize, extend, and optimize DICOM imaging viewers such as OHIF Viewer or CornerstoneJS for visualization, manipulation, and interpretation workflows.</li><li>Integrate Orthanc or other PACS servers to support secure retrieval, streaming, and querying of imaging studies.</li><li>Implement and optimize LLM-powered features within the imaging viewer — such as natural language search, study summarization, annotation extraction, and intelligent workflow assistance.</li><li>Build responsive, accessible, and intuitive web applications that support the review and manipulation of DICOM and multimodality medical images.</li><li>Integrate frontend applications with backend services and PACS systems via RESTful APIs, ensuring secure and reliable data exchange.</li><li>Collaborate with UI,UX designers, clinicians, AI engineers, and backend teams to translate imaging requirements into technical solutions.</li><li>Optimize frontend applications for speed, scalability, streaming performance, and cross-browser,device compatibility.</li><li>Conduct code reviews, write unit and integration tests, and maintain high code quality standards.</li><li>Stay current with emerging imaging, PACS, and frontend technologies.</li><li>Document architecture, imaging workflows, technical design decisions, and APIs, and contribute to internal knowledge sharing.</li><li>Participate in Agile team ceremonies and engineering processes.<br><br></li></ul><strong>Minimum Qualifications<br><br></strong>Important: Only candidates with real-world DICOM,OHIF,Orthanc,PACS experience will be considered. Please do not apply without this background.<br><br><ul><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.</li><li>3+ years of frontend development experience with direct expertise in healthcare imaging systems.</li><li>Strong, hands-on experience working with DICOM image formats and PACS servers (Orthanc, dcm4chee, or equivalent).</li><li>Practical experience customizing or integrating OHIF Viewer, CornerstoneJS, or similar medical imaging frameworks.</li><li>Proficient in JavaScript frameworks,libraries such as Next.js, React.js, Angular, or Vue.js.</li><li>Strong knowledge of HTML5, CSS3, and responsive web design principles.</li><li>Familiarity with frontend testing frameworks and CI,CD pipelines.</li><li>Understanding of healthcare standards and data privacy regulations (HIPAA, GDPR).</li><li>Proficiency in Git and modern development tools.</li><li>Excellent problem-solving skills and communication capabilities.<br><br></li></ul><strong>Critical Skills<br><br></strong><ul><li>Hands-on experience with OHIF Viewer, CornerstoneJS, Orthanc, PACS integrations, and clinical imaging workflows.</li><li>Strong frontend architecture design and modular component development skills.</li><li>Experience integrating frontend applications with REST APIs and backend imaging services.</li><li>Knowledge of healthcare software security best practices.</li><li>Experience with cloud platforms, Docker, or containerized deployments is a plus.</li><li>Ability to work collaboratively in a fast-paced, high-performance environment.<br><br></li></ul><strong>Additional Knowledge &amp; Skills<br><br></strong><ul><li>Familiarity with healthcare standards such as HL7 and FHIR is beneficial.</li><li>Background in AI,ML-assisted imaging tools, neuroimaging, or clinical research platforms is a plus.</li><li>Experience with frontend performance optimization and accessibility compliance.</li><li>Strong attention to detail and a passion for building world-class user experiences.<br><br></li></ul><strong>Our Stack<br><br></strong>React.js, Next.js, JavaScript (ES6+), HTML5, CSS3, DICOM viewers (OHIF Viewer, CornerstoneJS), Orthanc PACS integrations, REST APIs, Git, Docker, Cloud Platforms.<br><br><strong>Why NeuroDiscovery AI?<br><br></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.<br><br><strong>Benefits At NeuroDiscovery AI<br><br></strong><ul><li>Higher-than-industry salary packages to reward top talent.</li><li>Collaborate with leading experts across AI, product, imaging, and research.</li><li>Flexible remote work setup.</li><li>Comprehensive health insurance for you and your family.</li><li>Generous stock option plan.</li><li>Access to premium learning resources.</li></ul><br/><br/>Please mention the word **AGILITY** and tag RMTU4LjE2MC42Ni44MQ== when applying to show you read the job post completely (#RMTU4LjE2MC42Ni44MQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.