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Remote Pathologist Jobs in Ontario (NOW HIRING)

... 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 ...

... 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 ...

HL7 Integration Engineer

Mississauga, ON · Remote

CA$93K - CA$140K/yr

... Pathology. Working under moderate supervision, the HL7 Integration Engineer will work with clients ... Office or Remote Home-Based Work Environment * Travel: 0-5% Compensation The salary range provided ...

Remote Pathologist information

See Ontario salary details

$26K

$95.7K

$174.5K

How much do remote pathologist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote pathologist in Ontario is $95,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $117,500.00 per year, depending on experience, location, and employer.

What is a Remote Pathologist job?

A Remote Pathologist analyzes laboratory samples, such as tissue biopsies and blood tests, to diagnose diseases while working from a remote location. They use digital pathology tools and telemedicine technologies to review and interpret medical data. This role allows pathologists to collaborate with healthcare teams and provide expert opinions without needing to be physically present in a laboratory or hospital. Remote pathologists typically work for hospitals, diagnostic labs, telemedicine companies, or independent consulting services.

What challenges might I encounter as a Remote Pathologist, and how can I overcome them?

As a Remote Pathologist, you may face challenges like limited direct interaction with other healthcare team members, potential technical issues with digital slide imaging, and ensuring secure data management. To overcome these, it's important to have strong digital literacy, establish clear communication channels with your colleagues, and stay updated on the latest telepathology technologies. Regular virtual meetings can help foster collaboration and mitigate the sense of isolation often experienced in remote roles. Maintaining a well-equipped, secure home office and participating in ongoing professional development will also contribute to your success in this evolving field.

What are the key skills and qualifications needed to thrive in the Remote Pathologist position, and why are they important?

A Remote Pathologist must have a medical degree with board certification in pathology, in-depth knowledge of disease diagnosis, and experience in analyzing laboratory and biopsy samples. Proficiency with digital pathology platforms, telepathology systems, and secure electronic medical record (EMR) systems is crucial for remote collaboration and diagnosis. Excellent attention to detail, strong communication abilities, and time management skills help remote pathologists effectively manage cases and convey complex findings to clinical teams. These skills ensure accurate, timely diagnoses and support seamless teamwork despite physical distance.

What are the most commonly searched types of Pathologist jobs in Ontario? The most popular types of Pathologist jobs in Ontario are:
What are popular job titles related to Remote Pathologist jobs in Ontario? For Remote Pathologist jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Pathologist jobs in Ontario look for? The top searched job categories for Remote Pathologist jobs in Ontario are:
Infographic showing various Remote Pathologist job openings in Ontario as of July 2026, with employment types broken down into 48% Full Time, 36% Part Time, and 16% Contract. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $95,657 per year, or $46 per hour.

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 22 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.