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Manager Remote Digital Pathology Jobs in Stevenson Ranch, CA

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Manager Remote Digital Pathology information

See Stevenson Ranch, CA salary details

$31K

$81.3K

$114.3K

How much do manager remote digital pathology jobs pay per year?

As of May 28, 2026, the average yearly pay for manager remote digital pathology in Stevenson Ranch, CA is $81,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $104,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Remote Digital Pathology, and why are they important?

To thrive as a Manager Remote Digital Pathology, you need a solid background in pathology, digital imaging, and healthcare management, often supported by a relevant degree and experience in laboratory operations. Familiarity with digital pathology platforms, image analysis software, and data security standards is crucial, along with certifications like ASCP or CAP accreditation knowledge. Exceptional leadership, communication, and problem-solving abilities help drive team performance and effective collaboration with IT, clinicians, and laboratory staff. These skills ensure the successful implementation and operation of remote digital pathology systems, maintaining quality, compliance, and efficiency in diagnostic workflows.

How does a Manager of Remote Digital Pathology typically collaborate with laboratory teams and IT specialists to ensure seamless workflow integration?

A Manager of Remote Digital Pathology plays a crucial role in bridging the gap between laboratory personnel, pathologists, and IT professionals. They are responsible for coordinating the implementation and optimization of digital pathology systems, ensuring data security and system reliability. This involves frequent cross-functional meetings to address workflow issues, troubleshooting technical challenges, and developing standardized protocols for digital slide management. Effective communication and collaboration are essential, as the manager must align the goals of clinical staff with those of technical teams to provide efficient remote diagnostic services.

What is a Manager Remote Digital Pathology?

A Manager Remote Digital Pathology oversees the implementation and management of digital pathology systems that allow for remote analysis and sharing of pathology images and data. This role typically involves coordinating teams, ensuring the secure transfer and storage of digital slides, and maintaining compliance with healthcare regulations. The manager also collaborates with pathologists, IT professionals, and vendors to optimize workflow and troubleshoot technical issues. The goal is to improve diagnostic efficiency and enable remote consultations or second opinions in pathology.

What is the difference between Manager Remote Digital Pathology vs Digital Pathologist?

AspectManager Remote Digital PathologyDigital Pathologist
CredentialsTypically requires a medical degree, pathology certification, and management experienceRequires medical degree, pathology board certification, and expertise in digital pathology
Work EnvironmentRemote management of digital pathology teams and workflowsRemote or on-site interpretation of digital slides and diagnosis
Industry UsageUsed in healthcare organizations to oversee digital pathology operationsPracticing pathologists diagnosing cases using digital tools

The main difference is that the Manager Remote Digital Pathology focuses on overseeing digital pathology operations and team management, while the Digital Pathologist is directly involved in diagnosing diseases through digital slide analysis. Both roles require medical and pathology credentials, but their responsibilities and focus areas differ significantly.

What job categories do people searching Manager Remote Digital Pathology jobs in Stevenson Ranch, CA look for? The top searched job categories for Manager Remote Digital Pathology jobs in Stevenson Ranch, CA are:
What cities near Stevenson Ranch, CA are hiring for Manager Remote Digital Pathology jobs? Cities near Stevenson Ranch, CA with the most Manager Remote Digital Pathology job openings:
Manager Remote Digital Pathology jobs near you
Infographic showing various Manager Remote Digital Pathology job openings in Stevenson Ranch, CA as of May 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 82% Physical, and 18% Remote job distribution, with an average salary of $81,258 per year, or $39.1 per hour.

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA • Remote

$165K - $225K/yr

Full-time

Posted 4 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.