engineering
Posted Jun 9Frontend Developer Medical Imaging
GlobalRemote
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
- 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.
- Document architecture, imaging workflows, technical design decisions, and APIs, and contribute to internal knowledge sharing.
- Collaborate with leading experts across AI, product, imaging, and research.
Requirements
- At NeuroDiscovery AI, we have solved the neurology recruitment crisis, unlocked comprehensive real-world data access, and accelerated real-world evidence generation.
- NeuroDiscovery AI is seeking a Frontend Developer with deep, hands-on
- experience in medical imaging technologyâspecifically DICOM, OHIF, Orthanc, and PACS integrations.
- 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
- Bachelorâs or Masterâs degree in Computer Science, Software Engineering, or related field.
- 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
- 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.
- Proficiency in Git and modern development tools.
- experience with OHIF Viewer, CornerstoneJS, Orthanc, PACS integrations, and clinical imaging workflows.
- 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.
- 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.
- React.js, Next.js, JavaScript (ES6+), HTML5, CSS3, DICOM viewers (OHIF Viewer, CornerstoneJS), Orthanc PACS integrations, REST APIs, Git, Docker, Cloud Platforms.
- Why NeuroDiscovery AI?
- As part of NeuroDiscovery AI, you will shape innovative solutions that meaningfully advance neurological research and patient care.
- Benefits At NeuroDiscovery AI
- This is a beta feature to avoid spam applicants.
Experience
- 3+ years of frontend development
Benefits
- We offer competitive compensation, flexible work arrangements, and a culture focused on impact and growth.
- Higher-than-industry salary packages to reward top talent.
- Comprehensive health insurance for you and your family.
- Generous stock option plan.
Additional details
- 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.
- 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.
- Stay current with emerging imaging, PACS, and frontend technologies.
- Participate in Agile team ceremonies and engineering processes. Minimum
- Important: Only candidates with real-world DICOM,OHIF,Orthanc,PACS
- experience will be considered. Please do not apply without this background.
- Excellent problem-solving skills and communication capabilities. Critical Skills Hands-on
- Strong frontend architecture design and modular component development skills. •
- Strong attention to detail and a passion for building world-class user experiences. Our Stack
- and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==).