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Medical Imaging Ai Jobs (NOW HIRING)

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

... imaging AI systems - bridging the gap between benchmark performance and real-world clinical ... We work with medical imaging companies preparing FDA submissions, providing the evidence ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

... imaging AI systems -- bridging the gap between benchmark performance and real-world clinical ... We work with medical imaging companies preparing FDA submissions, providing the evidence ...

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Medical Imaging Ai information

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$15

$24

$33

How much do medical imaging ai jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for medical imaging ai in the United States is $24.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.41 per hour, depending on experience, location, and employer.

What is the difference between Medical Imaging Ai vs Medical Imaging Technologist?

AspectMedical Imaging AiMedical Imaging Technologist
CredentialsNone required; relies on algorithms and softwareCertification and licensing required (e.g., ARRT)
Work EnvironmentSoftware development, data analysis, research settingsHospitals, clinics, imaging centers
Industry UsageUsed as a tool to assist diagnosis and image analysisPerforms imaging procedures like X-rays, MRIs, CT scans
Primary FocusDeveloping and implementing AI algorithms for image interpretationCapturing and producing medical images for diagnosis

Medical Imaging Ai focuses on developing AI software to assist in image analysis, while Medical Imaging Technologists operate imaging equipment to produce diagnostic images. Both roles are essential in the healthcare industry but differ in credentials, work environment, and primary responsibilities.

What is the role of AI in medical imaging?

In medical imaging, AI is used to assist in analyzing images such as X-rays, MRIs, and CT scans by detecting abnormalities, improving diagnostic accuracy, and reducing interpretation time. Medical Imaging AI specialists develop and implement algorithms that enhance image quality and automate tasks, often requiring knowledge of machine learning, image processing, and healthcare standards.

What is Medical Imaging AI?

Medical Imaging AI refers to the use of artificial intelligence technologies, such as machine learning and deep learning, to analyze medical images like X-rays, MRIs, CT scans, and ultrasounds. These AI systems can assist radiologists by detecting abnormalities, segmenting organs, and even suggesting diagnoses. The goal is to improve accuracy, speed, and efficiency in interpreting medical images, which can lead to better patient outcomes. Medical Imaging AI is increasingly being integrated into clinical workflows, supporting healthcare professionals in making more informed decisions.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI solutions architect, often in the tech or healthcare sectors. These roles usually require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and sometimes specialized certifications. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI projects within organizations.

Is radiology tech a good career with AI?

Medical Imaging AI involves using artificial intelligence to assist in interpreting medical images, which can enhance the accuracy and efficiency of radiology technologists. While AI tools are increasingly integrated into imaging workflows, radiology techs still require technical skills, certification, and clinical knowledge, making the profession relevant alongside technological advancements. The role is expected to evolve with AI, emphasizing the importance of adaptability and ongoing training.

Is AI going to take over medical imaging jobs?

Medical Imaging AI professionals develop and implement AI tools to assist radiologists in diagnosing and analyzing medical images. While AI automates certain tasks, it generally complements human expertise, and radiologists remain essential for interpretation, decision-making, and patient care. AI skills, such as machine learning and image processing, are increasingly valuable in this field.

What are the key skills and qualifications needed to thrive as a Medical Imaging AI Specialist, and why are they important?

To thrive as a Medical Imaging AI Specialist, you need expertise in medical imaging, machine learning, and data analysis, typically backed by a degree in computer science, biomedical engineering, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and medical imaging systems (e.g., DICOM) as well as relevant certifications in AI or healthcare technology is important. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with clinicians and interpret complex data accurately. These skills and qualities are vital for developing reliable AI-driven imaging solutions that improve patient outcomes and integrate seamlessly into clinical workflows.

What are some common challenges faced by professionals working in Medical Imaging AI, and how can they be addressed?

Professionals in Medical Imaging AI often encounter challenges such as ensuring data privacy, managing large and diverse datasets, and achieving high model accuracy across different medical conditions and imaging modalities. Addressing these challenges requires collaboration with radiologists, data engineers, and compliance experts to maintain data quality, anonymize patient information, and validate models in real-world settings. Continuous learning and staying updated with the latest regulations and technological advancements are also essential for success in this rapidly evolving field.
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Medical Imaging Ai jobs near you
Infographic showing various Medical Imaging Ai job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 85% In-person, 3% Hybrid, and 12% Remote job distribution, with an average salary of $51,052 per year, or $24.5 per hour.

Medical AI Researcher

Clera

San Francisco, CA • On-site

$150K - $230K/yr

Full-time

Posted 3 days ago

Job description

About the Role

Join a healthtech company conducting rigorous, independent evaluations of medical imaging AI systems — bridging the gap between benchmark performance and clinical reliability. As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering evidence that informs go/no-go decisions. You'll combine practical ML skills with customer-facing judgment to characterize model behavior, generalization, and uncertainty in real-world clinical workflows.

What You'll Do

  • Lead end-to-end customer engagements: run meetings, define evaluation questions, and scope investigations.

  • Design and execute investigations that characterize model behavior, generalization, failure modes, and remaining uncertainty.

  • Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence.

  • Deliver clear, defensible reports and presentations for regulatory and internal audiences under tight timelines.

  • Collaborate with customers and cross-functional teams to inform go/no-go decisions and drive impact on product strategy.

What We're Looking For

  • Required: Hands-on expertise in medical imaging workflows and integration (DICOM/PACS, radiology pipelines) and integrating ML models into clinical systems.

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.

  • Several years of experience in ML evaluation or medical imaging AI.

  • Practical MLOps and model evaluation skills: building reproducible evaluation pipelines, model validation/monitoring, and proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow).

  • Familiarity with Docker and Kubernetes.

  • Nice to have: Experience with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo).

  • Healthcare industry experience preferred.

Compensation & Benefits

Salary range: $150,000 – $230,000 USD annually. Please note that visa sponsorship is not available for this role.

Location

This is an on-site role based in San Francisco, CA. Candidates must be available to work from the San Francisco office.