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Internship Remote Digital Pathology Jobs (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... 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 ...

HistoWiz, Inc

Senior Sales Executive

Boston, MA · Remote

$100K - $120K/yr

... digital pathology and histology laboratory services to biotech, pharmaceutical, and academic research clients. This is a remote, field-based role covering Boston and the broader New England territory.

Apply Early

PICTOR LABS INC

$89K - $123K/yr

... digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions ... Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

This role develops and deploys deep learning models across digital pathology, genomics ... Remote USA $124,800-$171,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

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How much do internship remote digital pathology jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for internship remote digital pathology in the United States is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.15 per hour, depending on experience, location, and employer.

What types of projects and hands-on experiences can I expect during a remote digital pathology internship?

As a remote digital pathology intern, you'll typically work on projects involving the annotation and analysis of digitized pathology slides, supporting research or development of AI algorithms, and assisting with data management. You'll collaborate closely with pathologists, data scientists, and software developers via virtual meetings and shared platforms. Expect a mix of independent tasks and team-based problem-solving, with regular feedback sessions to support your learning and growth. This role offers valuable exposure to cutting-edge technologies in medical imaging and opportunities to develop both technical and communication skills.

What is a remote digital pathology internship?

A remote digital pathology internship is a temporary, practical work experience that allows students or recent graduates to gain hands-on exposure to digital pathology while working from a remote location. Digital pathology involves using digital imaging and computer technology to analyze pathology slides and data, which can be done virtually. Interns may assist with image analysis, data management, software development, or research projects under the guidance of experienced pathologists or scientists. This type of internship provides valuable skills in both pathology and digital technology, making it a great stepping stone for careers in biomedical research, healthcare, or medical technology.

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

To thrive in a remote digital pathology internship, you need foundational knowledge in biology or pathology, supported by relevant coursework or enrollment in a related degree program. Familiarity with digital imaging software, virtual microscopy platforms, and basic data analysis tools is typically required. Attention to detail, effective communication, and self-motivation are crucial soft skills for succeeding in a remote and collaborative environment. These skills ensure accurate image analysis, reliable remote collaboration, and meaningful contributions to research or diagnostic projects.

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

AspectInternship Remote Digital PathologyDigital Pathologist
CredentialsTypically pursuing relevant degrees or certificationsMedical degree, pathology certification, and licensure
Work EnvironmentRemote, project-based, educational settingClinical labs, hospitals, or research institutions
Industry UsageTraining and skill development in digital pathologyDiagnosing and analyzing pathology cases

Internship Remote Digital Pathology is an entry-level, educational role focused on gaining experience in digital pathology, often remotely. In contrast, a Digital Pathologist is a licensed medical professional responsible for diagnosing diseases using digital slides in clinical settings. The internship provides foundational knowledge, while the digital pathologist performs clinical duties.

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Internship Remote Digital Pathology jobs near you

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA • Remote

$165K - $225K/yr

Full-time

Posted 11 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.