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Manager Ai Radiology Jobs (NOW HIRING)

Radiology Partners

Director, Implementations

$140K - $160K/yr

... AI, radiology, and clinical workflow, and we're looking for a Director, IT Implementations that will be responsible for overseeing the integration project work and people management of the ...

New Lantern

Backend Software Engineer

San Francisco, CA · On-site

$140 - $210/hr

New Lantern is building an AI radiology resident--think Cursor for radiologists. Our application ... Experience managing cloud infrastructure using Terraform or another infrastructure‑as‑code tool.

A2z Radiology

$130 - $160/hr

a2z Radiology AI · Remote, United States · Territory based You already know the distance between ... Commercial truth. CRM stages, next steps, decision criteria, close dates, and risks that reflect ...

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How much do manager ai radiology jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for manager ai radiology in the United States is $42.55, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $47.84 per hour, depending on experience, location, and employer.

What is the difference between Manager Ai Radiology vs Radiology Technician?

AspectManager Ai RadiologyRadiology Technician
CredentialsBachelor's degree in healthcare or related field, experience with AI toolsAssociate's degree or certification in radiologic technology
Work EnvironmentHealthcare facilities, overseeing AI integration in radiology departmentsHospitals, clinics, performing imaging procedures
Employer & IndustryMedical institutions adopting AI solutions, radiology departmentsMedical imaging centers, hospitals
Primary FocusManaging AI projects, coordinating between tech and medical staffPerforming imaging scans and basic image analysis

The Manager Ai Radiology role focuses on overseeing AI implementation and managing teams, while the Radiology Technician performs imaging procedures. Both roles are essential in radiology but differ significantly in responsibilities and required credentials.

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Manager Ai Radiology jobs near you
Infographic showing various Manager Ai Radiology job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $88,513 per year, or $42.6 per hour.

Backend Software Engineer - AI Radiology Platform

New Lantern

San Francisco, CA • On-site

Other

Posted 4 days ago

Job description

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.

This role

As a backend software engineer working on our radiology platform, you'll be responsible for building and maintaining a reliable, high performance server application that enables our product, including receiving and processing radiology image data, running LLM inference tasks to assist users, and transmitting completed medical reports, as well as providing all of the standard services needed by a modern web application.

What you’ll do

  • Take on end-to-end ownership for delivering a best-in-class radiology platform.

  • Solve user problems by shipping reliable and efficient features and improvements, often using Python and Django.

  • Collaborate with radiologists, clinical staff, and IT staff to discover requirements, build prototypes, and validate solutions.

  • Improve application quality and reliability with pre-deployment automated testing, robust error handling, and graceful error recovery.

  • Partner with frontend developers to ship new features and improve overall system performance and reliability.

  • Participate in an on-call rotation or customer support engineering rotation.

You have

  • 4+ years of progressive experience building and maintaining complex, high performance web applications running in cloud environments.

  • Solid experience with Python and a Python web framework (ideally Django) as well as the supporting dev tools ecosystem.

  • Well-practiced debugging and problem-solving skills, and a thorough understanding of the abstractions you typically build on top of.

  • A product engineering mindset with a bias to talk to users frequently and ship iteratively.

  • An end-to-end ownership mindset across design, implementation, testing, and monitoring.

  • Experience using AI/LLM-based tools for developing software and solving software problems (e.g. Claude Code/Cursor/Codex/Copilot/OpenCode/etc.).

Nice to haves

  • Experience measuring and optimizing the performance of web applications and their database access patterns.

  • Experience building and maintaining reliable LLM- or ML-based products or systems, including evals, fine tuning, operations, and data engineering.

  • Experience managing cloud infrastructure using Terraform or another infastructure-as-code tool.

  • Experience deploying and operating applications on Kubernetes or another container orchestration system.

  • Experience with data modeling (and grappling with the consequences of poor data modeling decisions).

  • Experience building and operating production data processing pipelines.

  • Deep experience in the Python ecosystem (e.g. package maintainer/contributor, etc.)

  • Systems programming & administration experience (networking, linux/POSIX, concurrency, filesystems, memory management, etc.)

  • Full-stack experience, ideally with Typescript/React.

  • Familiarity with radiology, medical imaging, or related fields.

[1] a radiology image archive & viewer, a medical report dictation system, and work management system

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