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a2z Radiology AI
a2z Radiology AI
2 open remote positions
a2z Radiology AI builds clinical AI that reads alongside radiologists, with an FDA-cleared abdomen-pelvis CT triage device. The team includes engineers from MIT and Stanford and fellowship-trained radiologists, backed by Khosla Ventures.
Salary Distribution
2 of 2 jobs
Benefits Overview
1 of 2 jobs
Discretionary Bonus
(1)
Equity
(1)
Open Positions
You will own the viewer built on Cornerstone3D and VTK.js, including volume rendering, reformats, and progressive loading. You will own the annotation system with 3D mask storage, AI-assisted segmentation, and evaluation pipeline for agreement scoring. You will own the annotation schemas, model output visualization, and the platform infrastructure on AWS with FastAPI.
React
TypeScript
Python
AWS
DICOM
Own the end-to-end clinical data path: how studies come in, how results go back, and how hospital IT teams validate the system. Harden gateway repositories under continuous integration, manage on-premise ingest, cloud DICOMweb ingestion, tenancy, and outbound lanes like HL7. Provide precise answers in security reviews and debug structural problems using packet captures, memory profiles, and protocol specs.
Python
FastAPI
Pytest
DICOM
HL7
AWS
+2 more