Frontend Developer â 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 evidence generation. While competitors take 6â18 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.
NeuroDiscovery AI is seeking a Frontend Developer with deep, hands-on experience in medical imaging technologyâspecifically 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.
Job Responsibilities
Design, develop, test, and deploy user interfaces for advanced medical imaging platforms using modern web technologies (React.js, Next.js, JavaScript,TypeScript, HTML5, CSS3).
Customize, extend, and optimize DICOM imaging viewers such as OHIF Viewer or CornerstoneJS for visualization, manipulation, and interpretation workflows.
Integrate Orthanc or other PACS servers to support secure retrieval, streaming, and querying of imaging studies.
Implement and optimize LLM-powered features within the imaging viewer â such as natural language search, study summarization, annotation extraction, and intelligent workflow assistance.
Build responsive, accessible, and intuitive web applications that support the review and manipulation of DICOM and multimodality medical images.
Integrate frontend applications with backend services and PACS systems via RESTful APIs, ensuring secure and reliable data exchange.
Collaborate with UI,UX designers, clinicians, AI engineers, and backend teams to translate imaging requirements into technical solutions.
Optimize frontend applications for speed, scalability, streaming performance, and cross-browser,device compatibility.
Conduct code reviews, write unit and integration tests, and maintain high code quality standards.
Stay current with emerging imaging, PACS, and frontend technologies.
Document architecture, imaging workflows, technical design decisions, and APIs, and contribute to internal knowledge sharing.
Participate in Agile team ceremonies and engineering processes.
Minimum Qualifications
Important: Only candidates with real-world DICOM,OHIF,Orthanc,PACS experience will be considered. Please do not apply without this background.
Bachelorâs or Masterâs degree in Computer Science, Software Engineering, or related field.
3+ years of frontend development experience with direct expertise in healthcare imaging systems.
Strong, hands-on experience working with DICOM image formats and PACS servers (Orthanc, dcm4chee, or equivalent).
Practical experience customizing or integrating OHIF Viewer, CornerstoneJS, or similar medical imaging frameworks.
Proficient in JavaScript frameworks,libraries such as Next.js, React.js, Angular, or Vue.js.
Strong knowledge of HTML5, CSS3, and responsive web design principles.
Familiarity with frontend testing frameworks and CI,CD pipelines.
Understanding of healthcare standards and data privacy regulations (HIPAA, GDPR).
Proficiency in Git and modern development tools.
Excellent problem-solving skills and communication capabilities.
Critical Skills
Hands-on experience with OHIF Viewer, CornerstoneJS, Orthanc, PACS integrations, and clinical imaging workflows.
Strong frontend architecture design and modular component development skills.
Experience integrating frontend applications with REST APIs and backend imaging services.
Knowledge of healthcare software security best practices.
Experience with cloud platforms, Docker, or containerized deployments is a plus.
Ability to work collaboratively in a fast-paced, high-performance environment.
Additional Knowledge & Skills
Familiarity with healthcare standards such as HL7 and FHIR is beneficial.
Background in AI,ML-assisted imaging tools, neuroimaging, or clinical research platforms is a plus.
Experience with frontend performance optimization and accessibility compliance.
Strong attention to detail and a passion for building world-class user experiences.