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After School Medical Imaging Machine Learning Jobs

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the ... Familiarity with machine learning applications in medical imaging. * Experience working with ...

Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

Do you want to continue learning about education? Do you have experience working in After-school Programs, Enrichment Programs, and Summer Camps? Apollo After School is looking for you! Compensation:

Do you want to continue learning about education? Do you have experience working in After-school Programs, Enrichment Programs, and Summer Camps? Apollo After School is looking for you! Compensation:

Do you want to continue learning about education? Do you love working with children? Apollo After School is looking for you! Compensation: Starting at $20 per hour (depending on experience). Location:

Do you want to continue learning about education? Do you love working with children? Apollo After School is looking for you! Compensation: Starting at $20 per hour (depending on experience). Location:

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Infographic showing various After School 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 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Junior Machine Learning Engineer - Medical Imaging

Bethpage, NY • On-site

Holobeam Technologies
Biotechnology Research and Development • 11 - 50 employees

Other

Medical, Retirement

Posted 10 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