Frontend Developer Medical Imaging

Frontend Developer - Medical Imaging

Company: NeuroDiscovery AI Location: Bengaluru, India Work Model: Onsite Seniority: Mid-Level

At NeuroDiscovery AI, we are revolutionizing neurology research and patient care. We accelerate clinical trials and provide instant access to real-world data through our proprietary NeuroLLM, trained on millions of patient records. We are seeking a skilled Frontend Developer with specialized experience in medical imaging to join our innovative team.

About the Role

This is a unique opportunity for an engineer with deep, hands-on experience in medical imaging technologies like DICOM, OHIF, and PACS. You will be instrumental in developing cutting-edge imaging interfaces that power neurological AI workflows, multimodal research, and patient analytics. This is not a general frontend position; we are specifically looking for individuals who have a proven track record in building, customizing, or integrating clinical imaging viewers or PACS systems.

Key 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 with Orthanc or other PACS servers for secure retrieval, streaming, and querying of imaging studies.
• Implement and optimize LLM-powered features within the imaging viewer, including natural language search, study summarization, and intelligent workflow assistance.
• Build responsive, accessible, and intuitive web applications for reviewing and manipulating 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.
• Participate in Agile team ceremonies and engineering processes.

Minimum Qualifications

Important: Only candidates with real-world DICOM, OHIF, Orthanc, and PACS experience will be considered.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a 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 (e.g., Orthanc, dcm4chee).
• Practical experience customizing or integrating OHIF Viewer, CornerstoneJS, or similar medical imaging frameworks.
• Proficiency in JavaScript frameworks and 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 (e.g., 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.

Additional Knowledge & Skills (Plus)

• Familiarity with healthcare standards such as HL7 and FHIR.
• Background in AI/ML-assisted imaging tools, neuroimaging, or clinical research platforms.
• Experience with frontend performance optimization and accessibility compliance.
• Experience with cloud platforms, Docker, or containerized deployments.

Our Stack

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?

Join NeuroDiscovery AI to shape innovative solutions that advance neurological research and patient care. We offer competitive compensation, a collaborative environment with leading experts, and a culture focused on impact and growth.

Benefits

• Higher-than-industry salary packages.
• Collaborate with leading experts across AI, product, imaging, and research.
• Comprehensive health insurance.
• Generous stock option plan.
• Access to premium learning resources.