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Full Time 3D Medical Imaging Post Processing Jobs in California

Koobz

3D Printing Process Engineer

Ventura, CA · On-site

$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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Full Time 3D Medical Imaging Post Processing information

What is a full time 3D medical imaging post processing specialist?

A Full Time 3D Medical Imaging Post Processing Specialist is a healthcare professional who processes and enhances medical images, such as CT or MRI scans, to produce three-dimensional visualizations. These specialists use advanced software tools to assist radiologists and physicians in diagnosing and planning treatments by creating detailed models of organs, tissues, or abnormalities. The role requires knowledge of medical imaging technology, anatomy, and image processing techniques. It is a full-time position typically found in hospitals, diagnostic centers, or medical imaging companies.

What are the key skills and qualifications needed to thrive as a full time 3D medical imaging post processing specialist, and why are they important?

To thrive as a Full Time 3D Medical Imaging Post Processing Specialist, you need a strong background in medical imaging, anatomy, and image analysis, often supported by a degree in radiologic technology or a related field. Familiarity with advanced imaging software (such as OsiriX, Mimics, or 3D Slicer), PACS systems, and possibly certifications in CT or MRI are typically required. Attention to detail, strong communication, and the ability to collaborate with radiologists and surgeons are crucial soft skills. These competencies ensure accurate, high-quality 3D reconstructions that are critical for diagnosis, surgical planning, and patient outcomes.

What are some common challenges faced by professionals in full time 3D medical imaging post processing, and how can they be addressed?

Professionals in Full Time 3D Medical Imaging Post Processing often encounter challenges such as managing large volumes of imaging data, ensuring accurate and timely reconstruction, and maintaining clear communication with radiologists and other medical staff. Staying current with evolving software and imaging protocols is also crucial. To address these challenges, it's important to develop strong organizational and technical skills, participate in ongoing training, and foster collaborative relationships with the clinical team. This approach helps ensure high-quality results and efficient workflow in a fast-paced healthcare environment.

What is the difference between Full Time 3D Medical Imaging Post Processing vs MRI Technician?

AspectFull Time 3D Medical Imaging Post ProcessingMRI Technician
CredentialsCertification in imaging software, relevant degreesRadiologic Technologist certification, ARRT license
Work EnvironmentImaging labs, hospitals, clinics, primarily computer-basedHospitals, imaging centers, patient interaction
Employer & Industry UsageMedical imaging companies, hospitals, diagnostic labsHospitals, outpatient clinics, diagnostic centers
Job FocusProcessing and analyzing 3D imaging dataOperating MRI machines, capturing images

While both roles involve medical imaging, Full Time 3D Medical Imaging Post Processing focuses on analyzing and processing 3D imaging data, often in a computer-based environment. In contrast, MRI Technicians operate MRI machines to acquire images directly from patients. Both roles require specialized certifications and are essential in diagnostic workflows, but they differ in daily tasks and work settings.

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 Full Time 3D Medical Imaging Post Processing jobs in California?

For Full Time 3D Medical Imaging Post Processing jobs in California, the most frequently searched job titles are:

What job categories do people searching Full Time 3D Medical Imaging Post Processing jobs in California look for?

The top searched job categories for Full Time 3D Medical Imaging Post Processing jobs in California are:

What cities in California are hiring for Full Time 3D Medical Imaging Post Processing jobs?

Cities in California with the most Full Time 3D Medical Imaging Post Processing job openings:

Full Time 3D Medical Imaging Post Processing jobs near you
Infographic showing various Full Time 3D Medical Imaging Post Processing job openings in California as of June 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Research Scientist - Vision Foundation Models

Epsilon Health

San Francisco, CA • On-site

Full-time

Posted 22 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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