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3D Medical Imaging Post Processing Jobs in California

Koobz

3D Printing Process Engineer

Ventura, CA

$80K - $120K/yr

Create G-code post-processing scripts to enhance workflow and efficiency. * Conduct research and ... Comprehensive insurance (medical, dental, and vision). * A generous Employee Stock Option Plan.

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3D Medical Imaging Post Processing information

What are the daily responsibilities of a 3D medical imaging post processing professional?

Professionals in 3D Medical Imaging Post Processing are responsible for reconstructing and enhancing medical images from raw data, creating 3D visualizations to assist radiologists and clinicians with diagnosis and treatment planning. Daily tasks often include processing CT or MRI scans, annotating and segmenting anatomical structures, troubleshooting imaging artifacts, and ensuring image quality. The role frequently involves collaborating closely with radiologists, technologists, and sometimes surgeons, to customize images for specific clinical needs. Staying current with evolving imaging technologies and software updates is also an important part of the job.

What are the key skills and qualifications needed for 3D medical imaging post processing?

To thrive in 3D Medical Imaging Post Processing, you need a solid understanding of human anatomy, medical imaging modalities (such as CT, MRI), and expertise in image post-processing techniques, typically supported by education in radiologic technology or biomedical engineering. Familiarity with advanced imaging software like Siemens syngo.via, GE AW, or Philips IntelliSpace Portal, and relevant certifications in medical imaging, are essential. Attention to detail, analytical thinking, and effective communication are key soft skills for producing accurate, clinically relevant 3D visualizations and collaborating with radiologists and clinicians. These competencies are vital for ensuring that processed images meet diagnostic standards and support optimal patient care decisions.

What is a 3D medical imaging post processing?

A 3D Medical Imaging Post Processing job involves enhancing and reconstructing medical images, such as CT and MRI scans, to create detailed 3D models for diagnostic and surgical planning. Professionals in this role use specialized software to segment, analyze, and optimize images for improved visualization. Their work aids radiologists, surgeons, and other healthcare professionals in better understanding patient anatomy. This process enhances diagnostic accuracy and supports customized treatment planning. Strong technical skills and knowledge of medical imaging modalities are essential for this role.

What are the most commonly searched types of 3D Medical Imaging Post Processing jobs in California? The most popular types of 3D Medical Imaging Post Processing jobs in California are:
What are popular job titles related to 3D Medical Imaging Post Processing jobs in California? For 3D Medical Imaging Post Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching 3D Medical Imaging Post Processing jobs in California look for? The top searched job categories for 3D Medical Imaging Post Processing jobs in California are:
What cities in California are hiring for 3D Medical Imaging Post Processing jobs? Cities in California with the most 3D Medical Imaging Post Processing job openings:
3D Medical Imaging Post Processing jobs near you
Infographic showing various 3D Medical Imaging Post Processing job openings in California as of July 2026, with employment types broken down into 75% Full Time, 14% Part Time, and 11% Temporary. Highlights an 85% In-person, and 15% Remote job distribution.

Research Scientist - Vision Foundation Models

Epsilon Health

San Francisco, CA • On-site

Full-time

Posted 4 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.)

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