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Machine Learning Medical Imaging Phd Jobs (NOW HIRING)

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics ... medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

Susquehanna

Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...

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 ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics ... medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

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How much do machine learning medical imaging phd jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning medical imaging phd in the United States is $90,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Machine Learning Medical Imaging PhD do?

A Machine Learning Medical Imaging PhD applies advanced machine learning and artificial intelligence techniques to analyze and interpret medical images such as X-rays, MRIs, or CT scans. Their work often involves developing new algorithms to improve disease detection, automate image analysis tasks, and assist clinicians in making accurate diagnoses. They may collaborate with medical professionals, data scientists, and engineers to bring innovative solutions to healthcare challenges. These experts also conduct research to advance the field and publish their findings in scientific journals.

What are the typical collaborative interactions for a Machine Learning Medical Imaging PhD in a multidisciplinary team?

As a Machine Learning Medical Imaging PhD, you will frequently collaborate with radiologists, data scientists, software engineers, and clinicians. Your role often involves translating clinical needs into technical solutions, interpreting imaging data with medical experts, and integrating algorithms into existing healthcare workflows. Effective communication and teamwork are essential, as you may participate in cross-functional meetings, contribute to research publications, and assist with regulatory documentation. This multidisciplinary environment fosters both technical growth and a deeper understanding of clinical challenges.

What are the key skills and qualifications needed to thrive as a Machine Learning Medical Imaging PhD, and why are they important?

To thrive as a Machine Learning Medical Imaging PhD, you need advanced expertise in machine learning, deep learning, and image processing, typically supported by a PhD in computer science, biomedical engineering, or a related field. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and experience with medical imaging systems (e.g., MRI, CT) are essential. Strong analytical thinking, problem-solving abilities, and effective scientific communication are key soft skills that distinguish top candidates. These skills are crucial for developing innovative solutions that advance medical diagnostics and research while facilitating collaboration across multidisciplinary teams.

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

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

Infographic showing various Machine Learning Medical Imaging Phd job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $90,812 per year, or $43.7 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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