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Remote Medical Imaging Machine Learning Jobs in Phoenix, AZ

Remote Radiologist- Nuero

Scottsdale, AZ · On-site +1

$319K - $399K/yr

Description The Radiologist is responsible for interpreting medical images to diagnose and guide ... Job Duties: • Interpret diagnostic imaging studies including X-rays, CT scans, MRIs, ultrasounds ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... Medical, Dental and Vision coverage (for full-time employees only). - Unlimited Vacation ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... Medical, Dental and Vision coverage (for full-time employees only). - Unlimited Vacation ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 41-60

Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

What are the key skills and qualifications needed to thrive as a remote medical imaging machine learning specialist, and why are they important?

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

How does a remote medical imaging machine learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.
What are popular job titles related to Remote Medical Imaging Machine Learning jobs in Phoenix, AZ? For Remote Medical Imaging Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Medical Imaging Machine Learning jobs in Phoenix, AZ look for? The top searched job categories for Remote Medical Imaging Machine Learning jobs in Phoenix, AZ are:
Infographic showing various Remote Medical Imaging Machine Learning job openings in Phoenix, AZ 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.

100% General Radiologist\u007C Fully Remote\u007C No Commute

SimonMed Imaging

Scottsdale, AZ • Remote

$327K - $409K/yr

Full-time

Posted 29 days ago


SimonMed Imaging rating

5.8

Company rating: 5.8 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

774th of 887 rated healthcare providers


Job description

The Remote Radiologist is responsible for interpreting diagnostic imaging studies from a remote setting using advanced teleradiology technology. This role supports nationwide imaging needs with timely and accurate reporting, contributing directly to high-quality patient care without the need for onsite presence. It enables flexibility while maintaining diagnostic excellence and clinical collaboration through virtual platforms.
Job Duties
  • Interpret a high volume of diagnostic studies remotely, including X-ray, CT, MRI, ultrasound, and other modalities.
  • Deliver prompt, accurate, and well-documented reports to referring clinicians across multiple locations.
  • Communicate critical and time-sensitive findings directly with providers via phone or secure messaging systems.
  • Collaborate with technologists and support staff virtually to ensure protocol adherence and image quality.
  • Use advanced PACS, RIS, and cloud-based teleradiology systems to manage and review cases.
  • Participate in quality assurance, peer review, and virtual team meetings.
  • Maintain up-to-date licensure and compliance documentation for multiple states, as required.
  • Adhere to all HIPAA and data security standards while working in a remote environment.
  • Contribute to a consistent workflow with no weekend or evening shifts required.
  • Support a culture of collaboration and excellence across geographically distributed teams.
Education and Experience
  • MD or DO degree from an accredited medical school.
  • Completion of an accredited Radiology Residency program.
  • Board Certified or Board Eligible in Diagnostic Radiology (ABR or equivalent).
  • Active and unrestricted medical licenses in applicable practice states (multi-state licensure preferred).
  • Prior teleradiology or remote work experience preferred, but not required.
Knowledge, Skills, and Abilities
  • Proficiency in remote diagnostic tools, PACS, RIS, and EMR systems.
  • Exceptional time management and organizational skills in a virtual work environment.
  • Strong written communication for clear and concise report generation.
  • Knowledge of HIPAA and teleradiology-specific data privacy protocols.
  • Comfortable with high-volume caseloads and maintaining quality standards.
  • Capable of working independently with minimal supervision.
  • Technical literacy to troubleshoot basic remote workstation issues.
  • Familiarity with ACR guidelines, structured reporting, and clinical decision support tools.
Benefits
We believe in preventative care for everyone including our team – SimonMed provides free, whole-body scans to each member

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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