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Post Processing Medical Imaging Remote Jobs in California

Prenuvo

Radiologist - 1099 (Remote)

Los Angeles, CA · Remote

$16K - $96K/mo

... Imaging highly desirable * Good standing with applicable state medical boards and the ABR * Detail ... As part of the hiring process, successful candidates will undergo a background check in compliance ...

YO AI Labs

Hematology Expert - Remote

Palo Alto, CA · Remote

$150 - $200/hr

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Medical Oncology and/or Hematology. * 5+ years of post-training clinical experience. * Direct ...

YO AI Labs

Hematology Expert - Remote

San Francisco, CA · Remote

$150 - $200/hr

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Medical Oncology and/or Hematology. * 5+ years of post-training clinical experience. * Direct ...

YO AI Labs

Hematology Expert - Remote

Los Angeles, CA · Remote

$150 - $200/hr

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Medical Oncology and/or Hematology. * 5+ years of post-training clinical experience. * Direct ...

YO AI Labs

Hematology Expert - Remote

San Jose, CA · Remote

$150 - $200/hr

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Medical Oncology and/or Hematology. * 5+ years of post-training clinical experience. * Direct ...

Travere

Associate Director, Medical Writing

San Diego, CA · On-site +1

San Diego, United Kingdom - Remote, USA- Remote Be a part of a global team that is inspired to make ... Communicate needed deliverables, writing processes, and timelines to team members. * Contribute to ...

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Post Processing Medical Imaging Remote information

What are the key skills and qualifications needed to thrive in the post processing medical imaging remote position?

To excel as a Post Processing Medical Imaging Remote specialist, you need a background in medical imaging, radiologic technology, or a related field, often supported by certification such as ARRT and experience with advanced imaging modalities. Familiarity with post-processing software (such as GE AW, Siemens Syngo, or Philips IntelliSpace) and PACS systems is typically required. Strong attention to detail, effective communication, and the ability to work independently are valuable soft skills in this remote role. These capabilities ensure accurate image enhancement, timely delivery of results, and reliable collaboration with radiologists and clinical teams.

What are the typical daily tasks and workflow for a remote post processing medical imaging specialist?

As a remote Post Processing Medical Imaging specialist, your daily tasks generally include receiving imaging data from hospitals or imaging centers, applying advanced post-processing techniques to enhance diagnostic images, and preparing data sets for interpretation by radiologists. You may collaborate via secure platforms with radiologists, technologists, and referring physicians to clarify imaging requests or discuss complex cases. Workflow is often deadline-driven, with priorities shifting according to clinical urgency and caseload. Strong organizational skills and proactive communication are important, as you will be expected to manage multiple cases independently while maintaining high-quality standards.

What is a post processing medical imaging remote?

A Post Processing Medical Imaging Remote job involves enhancing and analyzing medical images, such as MRIs, CT scans, and ultrasounds, using specialized software. Professionals in this role work remotely to adjust image quality, apply advanced processing techniques, and generate reports to assist radiologists and physicians in diagnosis and treatment planning. This position requires strong technical skills in medical imaging software, attention to detail, and knowledge of medical terminology. It is commonly found in hospitals, imaging centers, and teleradiology companies.

What are the most commonly searched types of Post Processing Medical Imaging jobs in California?

The most popular types of Post Processing Medical Imaging jobs in California are:

What are popular job titles related to Post Processing Medical Imaging Remote jobs in California?

For Post Processing Medical Imaging Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Post Processing Medical Imaging Remote jobs in California look for?

The top searched job categories for Post Processing Medical Imaging Remote jobs in California are:

What cities in California are hiring for Post Processing Medical Imaging Remote jobs?

Cities in California with the most Post Processing Medical Imaging Remote job openings:

Post Processing Medical Imaging Remote jobs near you
Infographic showing various Post Processing Medical Imaging Remote job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA • Remote

$165K - $225K/yr

Full-time

Re-posted 24 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.