New Lantern is building an AI radiology resident—think Cursor for radiologists. Our application integrates the three software tools radiologists use all day [1], together with AI, to create a platform that saves radiologists toil and lets them focus on reading images and finding disease.
About this roleAs a frontend or full-stack software engineer working on our in-browser radiology image viewer, you'll be responsible for building and maintaining a reliable, high performance app that enables radiologists to easily and efficiently view and analyze radiology images without getting in their way.
What you’ll doTake on end-to-end ownership for delivering a best-in-class radiology image viewer.
Ship high‑performance, reliable, and easy-to-use image viewing, manipulation, and measurement tools using OHIF/Cornerstone 3D, TypeScript, and React.
Profile and optimize viewer performance across imaging modalities and hardware, potentially including WebGL/WebGPU and Wasm.
Improve viewer quality and reliability with pre-deployment automated testing, robust error handling, and graceful error recovery.
Ensure the viewer is instrumented to detect failures and performance regressions, and remotely debug novel/unknown issues in the field.
Collaborate with radiologists and clinical staff to discover requirements, build prototypes, and validate solutions.
Partner with backend developers to improve overall system performance and reliability.
4+ years building complex, graphics‑intensive web apps or PACS/DICOM viewers.
Deep experience with TypeScript, React, and performance profiling in the browser.
A product mindset with a bias to talk to users frequently and ship iteratively.
An end-to-end ownership mindset across design, implementation, testing, and monitoring.
Prior contributions to OHIF/Cornerstone or other medical imaging software, or similar experience in adjacent computer graphics or visualization domains.
Hands‑on experience with WebGL/WebGPU, WASM, and web/Chrome APIs.
Experience with image processing, segmentation, 3D/VR viewers, annotations, and measurement tooling.
Familiarity with DICOM standards and industry practices.
[1] a radiology image archive & viewer (PACS), a medical report dictation system, and work management system
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