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Python Machine Learning Medical Imaging Jobs (NOW HIRING)

innovitusa

Machine Learning Engineer

Atlanta, GA · On-site

The ideal candidate will have strong experience with Python, machine learning frameworks, data processing, and cloud-based ML platforms. Required Skills: * 5+ years of Machine Learning experience

Duke University

Postdoctoral Associate

Durham, NC · On-site

Demonstrated experience with Python and C++ software development. * Experience managing software ... Familiarity with machine learning applications in medical imaging. * Experience working with ...

PaxeraHealth

Data Science Developer

Newton, MA · Remote

Keep up-to-date with the latest trends and technologies in the field of medical imaging and data ... Experience with C++, C#, Python, machine learning * B.S. in Computer Science or related field. An M.

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

... medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ... Hands-on expertise with PyTorch and strong production-level programming skills in Python

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

$200 - $250/hr

Strong experience with Python, Machine Learning, and Predictive Modeling * Experience building production-grade data pipelines and analytics infrastructure * Proficiency with React, Next.js ...

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Python Machine Learning Medical Imaging information

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

As of Sep 8, 2026, the average hourly pay for python machine learning medical imaging in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What does a Python machine learning medical imaging specialist do?

A Python Machine Learning Medical Imaging specialist develops and applies machine learning algorithms, often using Python, to analyze and interpret medical images such as X-rays, MRIs, or CT scans. Their work helps automate and improve the accuracy of disease detection, image segmentation, and diagnosis processes. They collaborate with healthcare professionals to build tools that assist in clinical decision-making and research. This role requires expertise in machine learning, image processing, and a solid understanding of medical imaging data.

How does a Python machine learning medical imaging specialist typically collaborate with radiologists and clinical teams?

In this role, collaboration with radiologists and clinical teams is essential to develop and validate machine learning models that support diagnostic workflows. You’ll frequently participate in interdisciplinary meetings to gather domain knowledge, understand clinical challenges, and ensure that your models address real-world needs. Effective communication is key, as you’ll translate technical findings into actionable insights for non-technical stakeholders and incorporate their feedback to refine algorithms. This collaborative environment not only enhances model accuracy but also ensures regulatory compliance and clinical relevance.

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

To thrive as a Python Machine Learning Medical Imaging Specialist, you need a strong background in computer science, machine learning, and medical imaging, usually supported by a relevant degree and experience with image analysis. Expertise in Python, libraries such as TensorFlow or PyTorch, and familiarity with DICOM standards and medical imaging software are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in this interdisciplinary role. These skills and qualities are essential for developing accurate, reliable models that improve diagnostics and patient outcomes in healthcare.

What are popular job titles related to Python Machine Learning Medical Imaging jobs?

For Python Machine Learning Medical Imaging jobs, the most frequently searched job titles are:

Infographic showing various Python Machine Learning Medical Imaging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Junior Machine Learning Engineer - Medical Imaging

Bethpage, NY • On-site

Holobeam Technologies
Biotechnology Research and Development • 11 - 50 employees
Learn more about Holobeam Technologiesexternal

Other

Medical, Retirement

Posted 9 days ago

Job description

Junior Machine Learning Engineer – Medical Imaging


About Holobeam

Holobeam Technologies is a cutting-edge medical technology company developing advanced medical imaging technologies designed to improve clinical care and help save lives.

We are looking for a Junior Machine Learning Engineer – Medical Imaging to join our team and work at the intersection of medical imaging, computer vision, machine learning, and data quality.


What You’ll Do

  • Review and validate medical imaging studies, DICOM metadata, annotations, segmentation masks, and model-generated outputs.
  • Develop reproducible quality-control and data-validation workflows.
  • Train, benchmark, and evaluate computer vision and segmentation models.
  • Identify data, preprocessing, annotation, and model-output issues.
  • Perform error analysis and root-cause analysis of model and data failures.
  • Prepare validated datasets and outputs for downstream ML development.
  • Document methods, experiments, decisions, and results.
  • Work with technical and clinical stakeholders and escalate cases requiring additional review.


What We’re Looking For

  • Strong Python skills and hands-on experience with PyTorch.
  • Experience training and evaluating computer vision or segmentation models.
  • Practical experience with medical imaging data.
  • Working knowledge of DICOM.
  • Understanding of model evaluation, experimental design, dataset partitioning, and error analysis.
  • Familiarity with imaging anatomy sufficient to recognize technically inadequate studies or anatomically implausible outputs without performing diagnostic interpretation.
  • Strong analytical skills, attention to detail, and technical communication.

Experience with X-ray, CT, medical-image segmentation, annotation workflows, or medical-imaging data pipelines is a plus.


Why Holobeam

You’ll work on challenging technology with meaningful healthcare applications while gaining hands-on experience across the machine learning lifecycle. As Holobeam grows, strong performers will have the opportunity to take on increasing technical ownership and responsibility.


Location

Preferred Beth Page New York / Hybrid or remote is possible for exceptional candidates, with daily / periodic in-person collaboration based on team and project needs.


Compensation & Benefits

  • Competitive salary, equity stock options, 401K, bonuses, full benefits including an excellent health care plan.
  • Long Island, NY (ranked the safest county in the U.S.)
  • High autonomy, rapid iteration, and real technical influence

If you are excited about applying machine learning and computer vision to medical imaging and want to work on technology with the potential to improve and save lives, we would like to hear from you.


Holobeam Technologies is an equal opportunity employer.


Contact: Jobs@holobeamtech.com

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