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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 ...

Radiology Partners

Director, Implementations

$140K - $160K/yr

Mosaic Clinical Technologies is reimagining what's possible at the intersection of AI, radiology, and clinical workflow, and we're looking for a Director, IT Implementations that will be responsible ...

New Lantern

Backend Software Engineer

San Francisco, CA · On-site

New Lantern is building an AI radiology resident to enhance the efficiency of radiologists. The Backend Software Engineer will be responsible for developing and maintaining a high-performance server ...

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 ...

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$730

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How much do ai radiology jobs pay per week?

As of Aug 29, 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, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $95,196 per year, or $45.8 per hour.

Interim AI / ML Engineering Consultant - Medical Imaging

Ports North

NY • On-site

$120 - $180/hr

Other

Posted 11 days ago

Job description

Interim AI/ML Engineering Consultant (Medical Imaging)Position Overview

Our client, an innovative healthcare technology organization, is seeking an Interim AI/ML Engineering Consultant to lead the development of AI-powered imaging and reporting solutions. This individual will leverage large-scale medical imaging datasets to build machine learning models that identify abnormalities, prioritize critical studies, automate report generation, and enhance radiology workflows.

Key Responsibilities
  • Design, develop, and deploy AI/ML models for medical imaging applications.
  • Build intelligent reporting tools that generate draft radiology findings and patient-friendly summaries.
  • Develop solutions that detect abnormalities and prioritize urgent cases.
  • Integrate AI applications with PACS, RIS, DICOM, and related healthcare technologies.
  • Support product implementation, customer onboarding, and user training.
  • Collaborate with clinical and technical stakeholders to enhance workflow efficiency and product capabilities.
  • Provide technical leadership for AI solution architecture, deployment, and optimization.
Qualifications
  • Proven experience developing AI/ML solutions in production environments.
  • Strong expertise with Python and modern ML frameworks such as TensorFlow or PyTorch.
  • Experience in computer vision, deep learning, or medical imaging analytics.
  • Knowledge of healthcare data, imaging workflows, and healthcare system integrations.
  • Strong communication skills with the ability to work across technical and business teams.
Preferred Experience
  • Healthcare AI, radiology, medical imaging, or digital health experience.
  • Knowledge of PACS, RIS, DICOM, and imaging data pipelines.
  • Experience with AI-powered clinical decision support or automated reporting solutions.
  • Background in customer-facing software implementations and product development.
Engagement Details
  • Remote engagement
  • Interim consulting opportunity
  • Full-time, part-time, or fractional candidates considered
  • Immediate project supporting a next-generation healthcare AI initiative
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