Software Engineer Front End (Advanced Medical Image Visualization)

As a Front-End Software Engineer at our company, you will be responsible for building high-performance, browser-based medical imaging viewers for radiology and enterprise healthcare platforms. You will work on advanced 2D/3D medical image visualization, real-time interaction, and clinician-grade user experiences used in diagnostic and clinical workflows. Key Responsibilities: - Design and implement high-performance 2D/3D medical image viewers in the browser - Support DICOM workflows: CT, MR, X-Ray, Ultrasound, PET - Implement tools such as Window/Level, Zoom, Pan, Rotate, Measurements, MPR, MIP, Volume Rendering, Annotations, overlays, and GSPS rendering - Handle large datasets efficiently - Build scalable UI components using React/Angular/Vue - Develop responsive, clinician-friendly UX for diagnostic use cases - Optimize rendering performance using WebGL/Canvas/WebGPU - Integrate viewers with PACS, RIS, VNA, AI services, and backend APIs - Ensure compliance with HIPAA, GDPR, and healthcare security standards - Write unit, integration, and performance tests Required Skills & Qualifications: Core Front-End Skills: - Strong proficiency in JavaScript/TypeScript - Expertise in React (preferred) or Angular/Vue - Deep understanding of HTML5, CSS3, responsive design - Experience with state management Visualization & Performance: - Hands-on experience with WebGL, Three.js, VTK.js, Cornerstone.js, or similar - Strong understanding of graphics pipelines and rendering optimization - Experience handling large image datasets Medical Imaging Knowledge (Strongly Preferred): - Understanding of DICOM, Study/Series/Image hierarchy - Familiarity with PACS, VNA, Radiology workflows, GSPS, SR, and AI annotations Good to Have: - 3-8 years of relevant experience - Experience with 3D volume rendering, segmentation, or AI overlays - Knowledge of WebAssembly (WASM) for performance-critical modules - Experience with Electron or desktop hybrid viewers - Familiarity with FHIR ImagingStudy, HL7, or IHE profiles - Exposure to cloud-native healthcare platforms Education: - Bachelors or Masters degree in Computer Science, Engineering, or equivalent experience What Youll Work On: - Diagnostic-grade imaging viewers used by radiologists and clinicians - Enterprise viewers combining imaging, reports, AI insights, and collaboration - High-impact healthcare products improving diagnostic accuracy and efficiency As a Front-End Software Engineer at our company, you will be responsible for building high-performance, browser-based medical imaging viewers for radiology and enterprise healthcare platforms. You will work on advanced 2D/3D medical image visualization, real-time interaction, and clinician-grade user experiences used in diagnostic and clinical workflows. Key Responsibilities: - Design and implement high-performance 2D/3D medical image viewers in the browser - Support DICOM workflows: CT, MR, X-Ray, Ultrasound, PET - Implement tools such as Window/Level, Zoom, Pan, Rotate, Measurements, MPR, MIP, Volume Rendering, Annotations, overlays, and GSPS rendering - Handle large datasets efficiently - Build scalable UI components using React/Angular/Vue - Develop responsive, clinician-friendly UX for diagnostic use cases - Optimize rendering performance using WebGL/Canvas/WebGPU - Integrate viewers with PACS, RIS, VNA, AI services, and backend APIs - Ensure compliance with HIPAA, GDPR, and healthcare security standards - Write unit, integration, and performance tests Required Skills & Qualifications: Core Front-End Skills: - Strong proficiency in JavaScript/TypeScript - Expertise in React (preferred) or Angular/Vue - Deep understanding of HTML5, CSS3, responsive design - Experience with state management Visualization & Performance: - Hands-on experience with WebGL, Three.js, VTK.js, Cornerstone.js, or similar - Strong understanding of graphics pipelines and rendering optimization - Experience handling large image datasets Medical Imaging Knowledge (Strongly Preferred): - Understanding of DICOM, Study/Series/Image hierarchy - Familiarity with PACS, VNA, Radiology workflows, GSPS, SR, and AI annotations Good to Have: - 3-8 years of relevant experience - Experience with 3D volume rendering, segmentation, or AI overlays - Knowledge of WebAssembly (WASM) for performance-critical modules - Experience with Electron or desktop hybrid viewers - Familiarity with FHIR ImagingStudy, HL7, or IHE profiles - Exposure to cloud-native healthcare platforms Education: - Bachelors or Masters degree in Computer Science, Engineering, or equivalent experience What Youll Work On: - Diagnostic-grade imaging viewers used by radiologists and clinicians - Enterprise viewers combining imaging, reports, AI insights, and collaboration - High-impact healthcare products improving diagnostic accuracy and efficiency