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Weekend 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 ...

MUSC

Entity Medical University Hospital Authority (MUHA) Worker Type Employee Worker Sub-Type​ Regular Cost Center CC000406 CHS - Digital Pathology (Main) Pay Rate Type Hourly Pay Grade Health-23 ...

Veracyte

Data Scientist II

San Diego, CA · On-site +1

$101K - $140K/yr

This is a remote friendly position. On-site cube available in South San Francisco or San Diego ... multi-platform digital pathology, genomic and clinical outcome data.    The successful ...

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 ...

UAB

PROGRAM MANAGER I

Tampa, FL · On-site +1

$43K - $71K/yr

... digital pathology, faculty recruitment, endowments, letters of recommendation etc. PMI must also ... remote work hours, ability to adapt to personalities, confidentiality, teamwork mindset, prompt ...

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Weekend Remote Digital Pathology information

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$19K

$67.8K

$110.5K

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

As of Jun 19, 2026, the average yearly pay for weekend remote digital pathology in the United States is $67,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $85,500.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Remote Digital Pathology vs Weekend Remote Histotechnologist?

AspectWeekend Remote Digital PathologyWeekend Remote Histotechnologist
CredentialsMedical degree, pathology certificationHistotechnology certification (ASCP), associate or bachelor’s degree in related field
Work EnvironmentRemote, digital slide analysisRemote or on-site, tissue preparation and slide staining
Industry UsageHealthcare, pathology labs, hospitalsLaboratories, research institutions, hospitals
Common Search IntentPathology analysis, digital diagnosticsSlide preparation, tissue processing

Weekend Remote Digital Pathology involves analyzing digital slides remotely, requiring medical credentials and a focus on diagnostics. In contrast, Weekend Remote Histotechnologists prepare tissue samples and slides, often with histotechnology certifications. Both roles operate remotely but serve different functions within pathology labs and healthcare settings.

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

To thrive in Weekend Remote Digital Pathology, you need a medical degree with board certification in pathology, along with strong diagnostic and analytical skills. Familiarity with digital pathology platforms, whole slide imaging systems, and secure telepathology software is typically required. Excellent attention to detail, time management, and effective remote communication are crucial soft skills for this role. These abilities ensure accurate, timely diagnoses and consistent collaboration with medical teams, even when working remotely on weekends.

What are some common challenges faced by professionals working in weekend remote digital pathology roles?

Weekend remote digital pathology professionals often encounter challenges such as managing time-sensitive case reviews with limited on-site support and addressing technical issues with digital platforms outside regular hours. Communication with multidisciplinary teams may require proactive coordination since many colleagues may not be available on weekends. However, these roles offer flexibility and the opportunity to work independently, while still collaborating virtually through secure platforms when needed.

What is a Weekend Remote Digital Pathology job?

A Weekend Remote Digital Pathology job involves analyzing and interpreting digital images of pathology slides from a remote location, usually during weekends. Professionals in this role use specialized software to review histology and cytology images for disease diagnosis, often collaborating with medical teams online. This setup allows pathologists to provide critical diagnostic services outside of traditional working hours, improving turnaround times and patient care. Digital pathology leverages the latest technology, making it possible to work from anywhere with a secure internet connection.
More about Weekend Remote Digital Pathology jobs
What cities are hiring for Weekend Remote Digital Pathology jobs? Cities with the most Weekend Remote Digital Pathology job openings:
What states have the most Weekend Remote Digital Pathology jobs? States with the most job openings for Weekend Remote Digital Pathology jobs include:
What job categories do people searching Weekend Remote Digital Pathology jobs look for? The top searched job categories for Weekend Remote Digital Pathology jobs are:
Weekend Remote Digital Pathology jobs near you
Infographic showing various Weekend Remote Digital Pathology job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 32% Full Time, 43% Part Time, 1% Temporary, 18% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $67,806 per year, or $32.6 per hour.

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA • Remote

$165K - $225K/yr

Full-time

Posted 27 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.