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3D Medical Imaging Jobs (NOW HIRING)

Jj

Principal Scientist, Imaging Analytics

Raritan, NJ

  • Retirement

  • PTO

Proficiency in Python and PyTorch, with practical experience in medical-imaging libraries such as MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, and OpenCV. * Experience with cloud ML ...

ARTHREX

3D Artist II

Naples, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requisition ID: 66669 Title: 3D Artist II Arthrex, Inc. is a global medical device company and a ... medical data in the form of radiographs, computed tomography (CT) scans, magnetic resonance imaging ...

Arthrex

3D Artist II

Naples, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... medical data in the form of radiographs, computed tomography (CT) scans, magnetic resonance imaging ... Job title: 3D Artist II Arthrex Location:

3DR Labs LLC

National Account Executive

Louisville, KY · On-site

... 3D medical image post-processing lab in the U.S., provides 24/7/365 access to more than 200 expert radiologic technologists and to state-of-the-art imaging software. Founded in 2005, 3DR Labs ...

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How much do 3d medical imaging jobs pay per year?

As of Aug 15, 2026, the average yearly pay for 3d medical imaging in the United States is $89,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $138,500.00 per year, depending on experience, location, and employer.
Infographic showing various 3D Medical Imaging 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 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $89,059 per year, or $42.8 per hour.

Research Scientist - Vision Foundation Models

Epsilon Health

San Francisco, CA • On-site

Full-time

Posted 15 days ago

Job description

About Us
We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place.
Role Overview
We're seeking a Research Scientist with deep expertise in vision foundation models to join our ML Research team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on pretraining and scaling vision encoders for radiology diagnosis across X-ray, CT, and MRI, with a growing emphasis on 3D volumetric modeling. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment.
Key Responsibilities
  • Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised, contrastive, masked image modeling, and joint-embedding predictive (JEPA) frameworks.
  • Extend 2D pretraining recipes to volumetric CT and MR data, addressing long sequence lengths, anisotropic spacing, and multi-sequence studies.
  • Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data.
  • Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment.
  • Stay current with cutting-edge research in computer vision and medical imaging AI.
  • Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale.

Qualifications
  • 6+ years of academia/industry experience in computer vision/machine learning
  • Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in self-supervised pretraining, including contrastive, masked image modeling, self-distillation, and JEPA-style objectives.
  • Experience training on volumetric or spatiotemporal data (video, 3D medical imaging)
  • Track record of implementing complex models from research papers and adapting them to new domains
  • Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems
  • Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI)
  • Strong software engineering skills and ability to write production-quality code

Preferred Qualifications
  • Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI)
  • Experience with 3D medical image processing and retrieval tasks
  • Familiarity with CT and MR acquisition (windowing, multi-sequence protocols, voxel spacing)
  • Experience with long-context training techniques (sequence parallelism, efficient attention)
  • Knowledge of vision-language models and multimodal learning
  • Experience with model interpretability and explainability methods
  • Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.)

Apply