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Remote Medical Image Analysis Jobs (NOW HIRING)

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Develop signal-processing and image-analysis algorithms using classical methods as well as modern ...

SQA Solution

Staff Pathologist

Tucson, AZ · Remote

$45/hr

Contract, W2 only Duration : 12+ months Location : remote Pay : $45/hr-$ 93/hr, DOE Schedule: M-F ... quantitative image analysis * Ensure compliance with laboratory and medical regulations

SQA Solution

Staff Pathologist

Tucson, AZ · Remote

$45/hr

Contract, W2 only Duration : 12+ months Location : remote Pay : $45/hr-$ 93/hr, DOE Schedule: M-F ... quantitative image analysis * Ensure compliance with laboratory and medical regulations

TapestryHealth

IPV Medical Assistant - PST TIME ZONE

$22 - $24/hr

Proof of CPR and First Aid Certification (For all Onsite or Hybrid Remote Medical Assistants) * 3 ... Strong analytical and problem-solving skills * Ability to show strong personal initiative and take ...

Tapestryhealth

IPV Medical Assistant - PST TIME ZONE

$22 - $24/hr

Proof of CPR and First Aid Certification (For all Onsite or Hybrid Remote Medical Assistants) * 3 ... Strong analytical and problem-solving skills * Ability to show strong personal initiative and take ...

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Remote Medical Image Analysis information

How do remote medical image analysts typically collaborate with radiologists and other healthcare professionals?

Remote medical image analysts frequently work closely with radiologists, physicians, and sometimes technologists through secure digital platforms. Collaboration often involves participating in virtual meetings, discussing cases via messaging or video calls, and providing preliminary analysis or second opinions on imaging studies. Clear communication and timely reporting are essential, as analysts may be supporting multiple locations or time zones. This collaborative approach ensures high-quality patient care and helps maintain accuracy in diagnostic interpretations.

What is the difference between Remote Medical Image Analysis vs Remote Radiology Assistant?

AspectRemote Medical Image AnalysisRemote Radiology Assistant
CredentialsMedical imaging certifications, radiology trainingRadiology assistant certification, radiology tech background
Work EnvironmentRemote, computer-based analysis of medical imagesRemote support role assisting radiologists, often computer-based
Industry UsageHospitals, imaging centers, telemedicine providersRadiology departments, telehealth services
Search & Comparison IntentUnderstanding roles in medical imaging analysisSupporting radiologists remotely

Remote Medical Image Analysis involves interpreting medical images like MRIs and CT scans, requiring specialized medical credentials. Remote Radiology Assistants support radiologists by preparing and managing images, often with similar certifications. Both roles are remote, industry-specific, and involve medical imaging, but differ in responsibilities and level of medical expertise.

What is remote medical image analysis?

Remote medical image analysis involves the interpretation and evaluation of medical images, such as X-rays, MRIs, or CT scans, by specialists who are not physically present at the healthcare facility. Using secure digital platforms, radiologists and other healthcare professionals can access, analyze, and share findings with medical teams across different locations. This practice enhances the speed and efficiency of diagnoses, provides access to expert opinions regardless of geography, and supports collaboration for complex cases.

What are the key skills and qualifications needed to thrive in Remote Medical Image Analysis, and why are they important?

To thrive in Remote Medical Image Analysis, you need a solid background in medical imaging, anatomy, and pathology—often supported by a degree in medical imaging, radiology, or a related field. Familiarity with advanced imaging software (such as PACS, DICOM viewers, or AI-based diagnostic tools) and relevant certifications like ARRT or equivalent are typically required. Strong attention to detail, analytical thinking, and effective communication are standout soft skills in this role. These skills and qualifications are crucial to ensure accurate, timely diagnoses and effective collaboration with healthcare teams from a distance.
More about Remote Medical Image Analysis jobs
What cities are hiring for Remote Medical Image Analysis jobs? Cities with the most Remote Medical Image Analysis job openings:
What are the most commonly searched types of Medical Image Analysis jobs? The most popular types of Medical Image Analysis jobs are:
What states have the most Remote Medical Image Analysis jobs? States with the most job openings for Remote Medical Image Analysis jobs include:
What job categories do people searching Remote Medical Image Analysis jobs look for? The top searched job categories for Remote Medical Image Analysis jobs are:
Remote Medical Image Analysis jobs near you
Infographic showing various Remote Medical Image Analysis job openings in the United States as of May 2026, with employment types broken down into 34% Full Time, 45% Part Time, and 21% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Cellanome

Foster, OR • On-site, Remote

$160K - $215K/yr

Other

Posted 9 days ago

Job description

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

Key Responsibilities:

  • Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
  • Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
  • Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
  • Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
  • Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.

Role Requirements:

  • Typically requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience.
  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications.
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code.
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization.
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment.
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development.
  • Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory.
  • Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems.
  • Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines.
  • Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions.
  • Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.

Preferred Qualifications:

  • Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration.
  • Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems.
  • Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms.
  • Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution.
  • Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods.

We  provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $160,000 - $215,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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