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Digital Pathology Scientist Computer Vision Jobs

NYULMC

Coordinator, Digital Pathology

New York, NY · On-site

The Digital Pathology Coordinator will support both the operational and computational research ... To qualify you must have a Bachelors degree in computer science, biomedical engineering, or a ...

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Digital Pathology Scientist Computer Vision information

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$50.5K

$111.3K

$137.5K

How much do digital pathology scientist computer vision jobs pay per year?

As of Jun 6, 2026, the average yearly pay for digital pathology scientist computer vision in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Digital Pathology Scientist Computer Vision vs Digital Pathology Scientist Image Analysis?

AspectDigital Pathology Scientist Computer VisionDigital Pathology Scientist Image Analysis
CredentialsAdvanced degree in biomedical engineering, computer science, or related fieldSimilar educational background, often with specialization in image processing
Work EnvironmentResearch labs, biotech companies, healthcare institutionsHospitals, research institutions, diagnostic labs
Industry UsageDevelops algorithms for visual recognition, pattern detection in pathology imagesAnalyzes pathology images for diagnostics, quantification, and reporting

Both roles require strong skills in image processing and pathology, but Digital Pathology Scientist Computer Vision focuses more on developing visual recognition algorithms, while Digital Pathology Scientist Image Analysis emphasizes applying these techniques for diagnostic purposes.

What are the typical challenges a Digital Pathology Scientist specializing in Computer Vision might face when integrating new algorithms into clinical workflows?

One common challenge is ensuring that new computer vision algorithms are robust and generalize well across varied pathology slide data, which often differ in staining, scanning, and tissue preparation. Additionally, aligning algorithm outputs with the needs and expectations of pathologists requires close collaboration and effective communication. Integrating these tools into existing clinical IT systems can be complex, necessitating rigorous validation, user training, and compliance with healthcare regulations. Overcoming these hurdles often involves multidisciplinary teamwork and iterative development.

What is a Digital Pathology Scientist specializing in Computer Vision?

A Digital Pathology Scientist specializing in Computer Vision is a professional who applies advanced computer vision and machine learning techniques to analyze digital images of pathology slides. Their work involves developing algorithms that assist in diagnosing diseases, quantifying biomarkers, and identifying patterns in tissue samples. By leveraging technology, they help pathologists make more accurate and efficient diagnoses, contributing to improved patient care and research in medical science.

What are the key skills and qualifications needed to thrive as a Digital Pathology Scientist specializing in Computer Vision, and why are they important?

To thrive as a Digital Pathology Scientist in Computer Vision, you need expertise in pathology, image analysis, and machine learning, often supported by advanced degrees in biomedical engineering, computer science, or related fields. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and digital pathology platforms is essential. Strong analytical thinking, collaboration, and effective communication are vital soft skills for interpreting results and working with multidisciplinary teams. These skills ensure accurate development and deployment of AI-driven pathology solutions, leading to better diagnostic outcomes and innovation in medical research.
Infographic showing various Digital Pathology Scientist Computer Vision job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 83% Full Time, 11% Part Time, and 2% Temporary. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Computational Pathology Scientist

Computational Pathology Scientist

BEPC Incorporated

South San Francisco, CA • On-site

$55 - $62.94/hr

Full-time

Medical, Dental, Vision, Life

This job post has expired today. Applications are no longer accepted.

Job description

BEPC is actively looking for Computational Pathology Scientist, in South San Francisco, CA area!

W2 Contract – 6 months with possible extensions!

Benefits include medical, dental, vision, and life insurance

Pay Rate: $55.00 - $62.94/hour - Determined based on experience (Paid Weekly)

Work Model: Onsite role - No Exceptions

Note: This is a W2 only role — C2C, C2H will not be considered

Summary of the Role:

BEPC is seeking a highly motivated Computational Pathology Scientist to join our client's site in South San Francisco, CA. This role will support the Digital Pathology team in revolutionizing the analysis of digital histopathology slides by leveraging computational methods to enhance pathological evaluations traditionally performed solely by humans.

The Translational Safety, Pathology team provides pre-clinical pathology assessments of risk. Within this group, the Digital Pathology team focuses on integrating cutting-edge digital and computational techniques into pathology workflows and developing computational tools to support pathologist-driven identification and interpretation of findings.

This role involves contributing to the development and application of image-processing methods and pipelines using both conventional techniques and advanced methods such as machine learning and deep learning. The successful candidate should be proficient with commercially available image analysis software and able to perform basic statistical analyses and data visualizations. Ideally, the candidate will also contribute to the development and implementation of new AI-powered image analysis algorithms and should have programming expertise, particularly in Python.

The role requires close collaboration with pathologists to design and execute image analysis workflows tailored to biological questions, as well as working with computational and data scientists across various departments. Strong interpersonal and communication skills, as well as a passion for interdisciplinary collaboration, are essential.

Summary of Duties and Responsibilities:

  • Contribute to the development and application of image-processing methods and pipelines using conventional and advanced computational techniques.
  • Apply machine learning and deep learning approaches for digital pathology image analysis.
  • Perform image classification, semantic segmentation, and other computer vision tasks.
  • Process and analyze gigapixel whole-slide images using tools such as OpenSlide or similar libraries.
  • Perform statistical analyses and create data visualizations.
  • Collaborate closely with pathologists to design and execute image analysis workflows tailored to biological questions.
  • Work with computational and data scientists across multiple departments.
  • Contribute to the development and implementation of AI-powered image analysis algorithms.
  • Participate in iterative design processes and incorporate feedback from cross-disciplinary teams.

Qualifications:

  • Education: MS or PhD-level scientist. Minimum 5 years of experience
  • Strong programming proficiency in Python and scientific computing libraries including NumPy, Pandas, Scikit-learn, and OpenCV.
  • Experience with version control systems such as Git and collaborative platforms like GitHub or GitLab.
  • Solid experience in classical and modern image analysis techniques.
  • Experience applying machine learning for image classification and semantic segmentation.
  • Hands-on experience processing and analyzing whole-slide images using OpenSlide or similar tools.
  • Excellent communication skills with the ability to explain computational concepts to pathologists and biologists.
  • Strong collaborative mindset with the ability to work effectively in cross-disciplinary teams.

Preferred Qualifications:

  • Deep expertise in advanced deep learning models for digital pathology, including instance segmentation.
  • Experience with PyTorch, Detectron2, TensorFlow, or Keras.
  • Experience using HPC environments and job schedulers such as SLURM.
  • Experience with commercial digital pathology platforms such as HALO, Visiopharm, or QuPath.
  • Experience building and managing data pipelines with workflow orchestration tools such as Dagster or Airflow.
  • Experience developing simple GUIs using Python frameworks like Tkinter or PyQt.
  • Familiarity with cloud computing services, particularly AWS EC2.

About BEPC

BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth.

Apply Now!

Qualified candidates are encouraged to apply by submitting an up-to-date resume that highlights how your experience aligns with the role. Please include specific examples that demonstrate your qualifications. We look forward to connecting with you!

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