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Professor Medical Imaging Machine Learning Jobs

Duke University

Postdoctoral Associate

Durham, NC · On-site

As a Postdoctoral Associate in Diagnostic Imaging & Machine Learning , you will join an innovative research team dedicated to advancing next-generation medical imaging technologies. Your expertise in ...

ScholarshipsAds Inc.

$150 - $200/hr

Professor / Associate Professor, Medical Sciences Carle Health Associate Professor Location Urbana ... In this role, you will design and conduct clinical imaging research, collaborate with ...

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

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

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Professor Medical Imaging Machine Learning information

What does a professor of medical imaging machine learning do?

A Professor of Medical Imaging Machine Learning is an academic expert who researches and teaches how artificial intelligence and machine learning techniques can be applied to analyze medical images, such as X-rays, MRIs, and CT scans. They develop new algorithms and computational models to assist in the diagnosis and treatment of diseases by extracting meaningful information from medical images. In addition to conducting original research, they often supervise students, collaborate with clinicians and scientists, and publish their findings in scientific journals.

What are the key skills and qualifications needed to thrive as a professor of medical imaging machine learning?

To thrive as a Professor of Medical Imaging Machine Learning, you need a strong background in medical imaging, machine learning, and advanced degrees such as a PhD in a related field. Expertise with programming languages (e.g., Python, MATLAB), deep learning frameworks (e.g., TensorFlow, PyTorch), and experience publishing in peer-reviewed journals are typically required. Exceptional communication, mentorship, and interdisciplinary collaboration skills help foster innovation and support students and research teams. These skills are crucial for advancing research, teaching effectively, and contributing to the development of cutting-edge medical imaging technologies.

How does a professor of medical imaging machine learning typically collaborate with clinical and research teams?

Professors in Medical Imaging Machine Learning often work closely with multidisciplinary teams, including radiologists, computer scientists, and clinical researchers. Collaboration involves jointly designing research studies, interpreting imaging data, and developing machine learning algorithms tailored to clinical needs. Effective communication is essential, as professors must translate complex technical concepts for diverse stakeholders and ensure that solutions are both scientifically rigorous and clinically relevant. Such teamwork not only advances research but also helps integrate new technologies into healthcare practice.

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

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

Infographic showing various Professor 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
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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