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Ai Radiology Jobs (NOW HIRING)

Ports North

NY · On-site

$120 - $180/hr

Build intelligent reporting tools that generate draft radiology findings and patient-friendly summaries. * Develop solutions that detect abnormalities and prioritize urgent cases. * Integrate AI ...

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 integrates the three software tools radiologists use all day [1], together with AI, to create a ...

A2z Radiology

$130 - $160/hr

a2z Radiology AI · Remote, United States · Territory based You already know the distance between a strong demonstration and a signed health-system agreement. It runs through a clinical champion ...

Radiology Partners

Radiology Technologist

Nashville, TN · On-site

$25 - $28/hr

What We Offer: Radiology is a team sport, and Radiology Partners is building a community of ... Leading the pack in the development of AI tools and technology resources * Opportunities for ...

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How much do ai radiology jobs pay per week?

As of Sep 7, 2026, the average weekly pay for ai radiology in the United States is $1,830.69, according to ZipRecruiter salary data. Most workers in this role earn between $1,153.85 and $2,394.23 per week, depending on experience, location, and employer.

What is an AI Radiology?

An AI Radiology job involves using artificial intelligence to assist in analyzing medical images, such as X-rays, MRIs, and CT scans. Professionals in this field work on developing, implementing, or utilizing AI algorithms to improve diagnostic accuracy, efficiency, and workflow in radiology. Roles can range from AI researchers and data scientists to radiologists who incorporate AI tools into their practice. AI helps in detecting abnormalities, prioritizing urgent cases, and reducing human error. While AI enhances radiology, human expertise remains essential for interpretation and clinical decision-making.

What are the typical daily responsibilities of an AI Radiology professional?

AI Radiology professionals spend their days developing and validating algorithms to interpret medical images, collaborating closely with radiologists and data scientists to ensure clinical accuracy and reliability. They are involved in data preprocessing, model training, performance assessment, and integrating AI tools into existing hospital systems. Additional responsibilities often include troubleshooting technical issues, maintaining regulatory compliance, and presenting findings to multidisciplinary teams. This dynamic role offers exposure to cutting-edge healthcare technologies and requires balancing technical innovation with practical medical workflows.

What are the key skills and qualifications needed to thrive in the AI Radiology position, and why are they important?

To thrive in an AI Radiology role, you need a strong background in medical imaging, data science, and machine learning, typically backed by a degree in radiology, computer science, or a related field. Proficiency with PACS systems, deep learning frameworks (such as TensorFlow or PyTorch), and regulatory compliance (like HIPAA) is essential. Excellent analytical thinking, collaboration, and communication skills allow you to work effectively in cross-functional teams with radiologists and IT professionals. These competencies are vital for developing, deploying, and optimizing AI solutions that enhance diagnostic accuracy and workflow efficiency in medical imaging.

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ai radiology jobs near you
Infographic showing various Ai Radiology job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $95,196 per year, or $45.8 per hour.

Backend Software Engineer - AI Radiology Platform

New Lantern

San Francisco, CA • On-site

Other

Posted 13 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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