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Full Time Medical Image Analysis Jobs (NOW HIRING)

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This ...

Space Tango LLC

Image Data Scientist

Lexington, KY · On-site

Job Type Full-time Description Space Tango is an innovative space technology small business based ... Develop and enhance automated image-analysis and post-processing pipelines that generate reliable ...

Space Tango

Image Data Scientist

Lexington, KY · On-site

Full-time Description Space Tango is an innovative space technology small business based in ... Develop and enhance automated image-analysis and post-processing pipelines that generate reliable ...

InterImage

Experience analyzing and developing algorithms to correct scientific image data containing ... FULL_TIME

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Full Time Medical Image Analysis information

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How much do full time medical image analysis jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for full time medical image analysis 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 are the most commonly searched types of Medical Image Analysis jobs? The most popular types of Medical Image Analysis jobs are:
Full Time Medical Image Analysis jobs near you
Infographic showing various Full Time Medical Image Analysis job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $73,307 per year, or $35.2 per hour.
Computer Vision Engineer

Computer Vision Engineer

Applied Medical

Rancho Santa Margarita, CA • On-site

$80K/yr

Full-time

Life, Retirement, PTO

Posted 23 days ago

Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. Our company has been developing and manufacturing advanced surgical technologies for over 35 years and has earned a strong reputation for excellence in the healthcare field. Our unique business model, combined with our dedication to delivering the highest quality products, enables team members to contribute in a larger capacity than is possible in typical positions.
Position Description
The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical. This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products. The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.
Key Responsibilities
  • Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis
  • Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program
  • Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications
  • Research emerging computer vision technologies and methodologies, applying insights to improve model performance
  • Test, validate, and deploy models, maintaining robustness and reliability in production environments
  • Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time

Success in This Role Looks Like
  • Improving model accuracy and system efficiency across deployed computer vision solutions
  • Delivering scalable vision-based features integrated cleanly into production products
  • Maintaining robust, reliable models in production environments
  • Resolving performance issues quickly to sustain accuracy and efficiency
  • Applying current research to advance product capabilities and innovation

Position Requirements
This position requires the following skills and attributes:
  • Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience
  • Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below
  • Strong analytical skills and a solid foundation in mathematics
  • Deep understanding of and hands-on experience with image processing, computer vision, machine learning, and deep learning algorithms
  • Strong development skills in C++ or Python
  • Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction
  • Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, and OpenCV
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras

Preferred
The following skills and attributes are preferred:
  • Experience with medical image analysis or medical applications
  • Experience with image streaming and real-time image analysis
  • Experience with computer graphics and visualization
  • Experience with database servers such as MySQL or SQL Server
  • Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)

Benefits
  • Competitive compensation range: $80000 - $140000 / year (California).
  • Comprehensive benefits package.
  • Training and mentorship opportunities.
  • On-campus wellness activities.
  • Education reimbursement program.
  • 401(k) program with discretionary employer match.
  • Generous vacation accrual and paid holiday schedule.

Please note that the compensation range may be adjusted in the future, and bonus and incentive compensation plans may apply.
Our total reward package reflects our commitment to employee growth and well-being, as we invest in your development and offer a range of benefits designed to enhance your career and life.
All compensation and benefits are subject to plan documents and written agreements.

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