Radiology AI Platform Engineer — Remote

Worky; Boston (MA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

a2z Radiology AI in Boston hybrid or remote international is building AI for radiology workflows. You will own the viewer, annotation tooling, and the measurement-driven pipelines, ensuring accurate geometry and clinically grounded decisions.

Join a team of engineers and radiologists delivering FDA-cleared CT triage solutions with HIPAA-compliant cloud infrastructure and modern web technologies.

Qualifications

• Fluency in DICOM geometry is expected; geometry bugs are real blockers.
• Ability to design and critique annotation quality metrics.
• Comfort with regulated software considerations (HIPAA/IEC).
• Willingness to work across web frontend, backend, and cloud stack.

Responsibilities

• Own the viewer: Cornerstone3D/VTK.js with on-demand reformatting and plane labeling.
• Own the annotation factory: 3D mask storage, click-to-segment, and quality pipelines.
• Define annotation schemas with clinical judgment and gating rules.
• Deliver model output contracts and world-space contour alignment.
• Support platform: FastAPI on AWS with per-study authorization and data isolation.

Tools

React

TypeScript

Vite

Cornerstone3D

VTK.js

Jotai

TanStack Query

Tailwind

Playwright

Python

FastAPI

pytest

AWS

Terraform

DICOM

DICOMweb

HTJ2K

NIfTI

RLE

Job description

a2z Radiology AI in Boston hybrid or remote international is building AI for radiology workflows. You will own the viewer, annotation tooling, and the measurement-driven pipelines, ensuring accurate geometry and clinically grounded decisions.

Join a team of engineers and radiologists delivering FDA-cleared CT triage solutions with HIPAA-compliant cloud infrastructure and modern web technologies.