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Temporary Medical Imaging Machine Learning Jobs (NOW HIRING)

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Medical Imaging Service Engineer

Chicago, IL

$44 - $55/hr

The Medical Imaging Service Engineer installs, inspects, troubleshoots, repairs, calibrates, and ... machines, and supporting equipment. This position requires familiarity with various classes of ...

Medpace, Inc.

Medical Imaging Analyst

Denver, CO · On-site

$60K - $120K/yr

Perform quality assurance checks on medical imaging data collected during medical and device ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Medpace

Medical Imaging Analyst

Denver, CO · On-site

$60K - $120K/yr

Perform quality assurance checks on medical imaging data collected during medical and device ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Medpace, Inc.

Medical Imaging Analyst

Denver, CO · On-site +1

$60K - $120K/yr

Perform quality assurance checks on medical imaging data collected during medical and device ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Comprehensive benefits package including medical, dental, vision, and life insurance * Performance ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

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Temporary Medical Imaging Machine Learning information

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How much do temporary medical imaging machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for temporary medical imaging machine learning in the United States is $35.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $43.75 per hour, depending on experience, location, and employer.

What is the difference between Temporary Medical Imaging Machine Learning vs Medical Imaging Technologist?

AspectTemporary Medical Imaging Machine LearningMedical Imaging Technologist
CredentialsTypically requires knowledge of machine learning, programming, and healthcare dataRequires certification or licensing in radiologic technology
Work EnvironmentData analysis settings, research labs, healthcare IT departmentsHospitals, clinics, imaging centers
Industry UsageDeveloping AI tools for medical imaging, research projectsPerforming diagnostic imaging procedures on patients

Temporary Medical Imaging Machine Learning focuses on developing and applying AI algorithms to interpret medical images, often in research or tech settings. Medical Imaging Technologists operate imaging equipment directly on patients for diagnostic purposes. While both roles involve medical imaging, one is tech-focused on data and AI, and the other on patient care and image acquisition.

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Temporary Medical Imaging Machine Learning jobs near you
Infographic showing various Temporary Medical Imaging Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $73,307 per year, or $35.2 per hour.

Sr. Research Scientist - Medical AI

United Imaging Intelligence

Cambridge, MA • On-site

$100K - $136K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Us

Established in the US in 2018, UII America, Inc. continues to expand its world-class research and development team in Burlington, MA. As a subsidiary of United Imaging Intelligence (UII), we are an organization of highly motivated, talented AI experts and software developers dedicated to strengthening our R&D capabilities and addressing the needs of the US market.

UII is committed to providing cutting-edge AI solutions for medical devices, imaging, diagnosis and treatment. Led by world-renowned experts in the AI industry, our mission focuses on empowerment: we equip doctors and hospitals with advanced AI solutions to improve patient outcomes, while fostering collaborative success with research institutions and clinical partners.


The Role

We have an immediate opening for a Sr. Research Scientist specializing in Medical AI. You will lead cutting-edge AI research and translate scientific innovations into practical healthcare solutions.

Our research spans foundation models, multimodal AI, generative AI, world models, and physical AI, with applications across medical imaging, video, audio, clinical text, and intelligent medical systems.

You will work closely with AI scientists, engineers, clinicians, and product teams to develop next-generation AI technologies for healthcare.


Qualifications & Requirements

• PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a related field;

• 5+ years of R&D experience in AI, Machine Learning, Medical AI, Computer Vision, or related fields;

• Strong expertise in deep learning and modern AI technologies;

• Research experience in one or more areas such as foundation models, multimodal AI, LLMs/VLMs, generative AI, world models, physical AI, computer vision;

• Strong programming skills in Python and/or C++ and experience with PyTorch or TensorFlow;

• Experience using AI coding agents (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate AI research and software development is preferred;

• Strong publication record in top-tier conferences and journals in Artificial Intelligence, Machine Learning, Computer Vision, and Medical AI, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, MICCAI, TMI, MedIA, or equivalent venues;

• Strong ability to develop practical solutions to challenging problems;

• Strong writing, communication, and cross discipline collaboration skills;

• Experience with medical imaging or other healthcare data modalities is highly desirable;

• Experience translating AI technologies into commercial products or medical devices is a plus.


Main Responsibilities

• Research and develop next-generation AI technologies for Medical AI and healthcare;

• Develop advanced foundation models, multimodal AI, generative AI, and world models for healthcare applications;

• Develop AI systems for medical images, video, audio, text, and other multimodal healthcare data;

• Lead cutting-edge research and translate research innovations into robust product solutions;

• Collaborate with scientists, engineers, clinicians, product teams, and research partners;

• Publish high-impact research and contribute to intellectual property development;

• Explore emerging AI technologies and new opportunities for healthcare innovation;

• Be ambitious to lead the changes in future healthcare with innovations

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