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Temp Medical Image Processing Jobs in California

ZEISS

Senior Image Quality Engineer

Dublin, CA · On-site

$140K - $175K/yr

Degree and experience should be within field of X-ray, CT, microscopy, or medical imaging. * Understands a wide range of Internal and 3rd party reconstruction, image processing, and 3D visualization ...

ZEISS

Senior Image Quality Engineer

Dublin, CA · On-site

$140K - $175K/yr

Degree and experience should be within field of X-ray, CT, microscopy, or medical imaging. * Understands a wide range of Internal and 3rd party reconstruction, image processing, and 3D visualization ...

Apple

Camera Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

Deep understanding and appreciation of sensor characteristics, optics, and image signal processing ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

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All JobsMedical Image Processing JobsTemp Medical Image Processing JobsTemp Medical Image Processing Jobs in California

Temp Medical Image Processing information

What are the typical responsibilities and challenges faced in a temp medical image processing role?

In a Temp Medical Image Processing position, you will primarily be responsible for preparing, analyzing, and enhancing medical images using specialized software to support clinical or research teams. Common challenges include quickly adapting to varying protocols, maintaining high accuracy while processing large volumes of images, and adhering to strict privacy and data security standards. You'll often collaborate closely with radiologists, technicians, and IT professionals to ensure timely and accurate delivery of processed images. This role provides a valuable opportunity to gain hands-on experience with advanced imaging technologies and can serve as a stepping stone to more permanent positions in medical imaging or healthcare IT.

What are the key skills and qualifications needed to thrive as a temp medical image processing specialist, and why are they important?

To thrive as a Temp Medical Image Processing Specialist, you need a background in medical imaging, image analysis, and an understanding of anatomy, often supported by a degree in radiologic technology or a related field. Experience with imaging software such as PACS, DICOM viewers, and processing tools like MATLAB or Python is typically required. Attention to detail, analytical thinking, and effective communication are vital soft skills for accurately interpreting images and collaborating with medical teams. These skills ensure precise image processing, support accurate diagnoses, and contribute to the efficiency of healthcare services.

What is a temp medical image processing?

Temp Medical Image Processing jobs involve working on a temporary basis to analyze, enhance, and interpret medical images such as X-rays, MRI scans, and CT scans using specialized software. These roles often support healthcare professionals by preparing images for diagnosis or research, ensuring image quality, and sometimes assisting with data management. Temporary positions are typically offered to help with increased workloads, special projects, or to cover staff absences. Candidates usually need a background in medical imaging, computer science, or related fields, and familiarity with medical imaging software. Temp Medical Image Processing jobs can be found in hospitals, research institutions, and medical imaging companies.

What is the difference between Temp Medical Image Processing vs Medical Imaging Technician?

AspectTemp Medical Image ProcessingMedical Imaging Technician
CredentialsTypically requires certification in medical imaging software or related fieldsRequires ARRT certification or equivalent
Work EnvironmentOften temporary assignments in hospitals, clinics, or imaging centersFull-time or part-time roles in medical facilities
Employer & IndustryHospitals, imaging centers, medical contractorsHospitals, clinics, diagnostic labs
Job FocusProcessing and analyzing medical images using specialized softwareOperating imaging equipment and capturing images

Temp Medical Image Processing roles focus on handling and analyzing medical images through software, often on temporary assignments. Medical Imaging Technicians operate imaging equipment like MRI or CT scanners to produce diagnostic images. While both roles require knowledge of medical imaging, the technician role involves direct patient interaction and equipment operation, whereas temp image processing emphasizes software skills and temporary project-based work.

What are the most commonly searched types of Medical Image Processing jobs in California? The most popular types of Medical Image Processing jobs in California are:
What are popular job titles related to Temp Medical Image Processing jobs in California? For Temp Medical Image Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Temp Medical Image Processing jobs in California look for? The top searched job categories for Temp Medical Image Processing jobs in California are:
What cities in California are hiring for Temp Medical Image Processing jobs? Cities in California with the most Temp Medical Image Processing job openings:
Temp Medical Image Processing jobs near you
Infographic showing various Temp Medical Image Processing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Research Scientist - Vision Foundation Models

Epsilon Health

San Francisco, CA • On-site

Full-time

Posted 12 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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