Frontend Developer – Medical Imaging

☑️ About NeuroDiscovery AI:

NeuroDiscovery AI is an AI-native company revolutionizing neurology through its proprietary NeuroLLM™, trained on 5M+ neurology patient records. We accelerate clinical trial enrollment, unlock real-world data access, and generate real-world evidence in days — transforming the way clinical research and care are delivered. We partner with 470+ neurology providers across the U.S. to bring cutting-edge insights to patient care.

☑️ Role Overview:

As a Frontend Developer – Medical Imaging, you will build intuitive, high-performance interfaces for advanced imaging workflows. You will work with DICOM viewers, PACS integrations, and cutting-edge AI-powered features that enable clinicians and researchers to visualize, review, and interpret multimodal imaging data with ease.

☑️ Key Responsibilities:

• Design and develop responsive UI for medical imaging platforms using React.js / Next.js.

• Customize and extend DICOM viewers (e.g., CornerstoneJS, OHIF) for visualization, annotation, and workflow support.

• Integrate LLM-powered features such as natural-language search, automated study summarization, and intelligent workflow assistance.

• Build imaging tools supporting DICOM and multi-modality workflows.

• Integrate frontend apps with backend services and PACS systems via REST APIs.

• Collaborate with clinicians, UI/UX, and backend teams to translate requirements into production-ready solutions.

• Optimize performance, accessibility, and cross-browser functionality.

• Conduct code reviews, write tests, and maintain high-quality engineering standards.

• Stay updated on modern frontend and medical imaging technologies.

☑️ Requirements:

• Bachelor’s/Master’s in Computer Science, Engineering, or related field.

• 3+ years of frontend development experience.

• Strong expertise in React.js / Next.js / JavaScript / TypeScript.

• Hands-on experience with DICOM, PACS, and medical imaging workflows.

• Experience with DICOM viewers (CornerstoneJS, OHIF) or imaging toolkits like vtk.js.

• Knowledge of HIPAA/GDPR and healthcare security standards.

• Strong problem-solving and communication skills.

☑️ Bonus Skills:

• Experience with FHIR/HL7, cloud platforms, Docker.

• Background in AI/ML-enabled medical imaging platforms.

• Exposure to neuroscience or clinical imaging tools.

💼 Location: Remote (India)

Apply now via our application form 👇

🔗 https://lnkd.in/g7pd3wdS

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