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Digital Pathology Scientist Computer Vision Jobs

BWXT

Data Scientist, Computer Vision

Lynchburg, VA

Your Day to Day as a Data Scientist, Computer Vision: * Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment ...

Roche

Scientist - PHCS Digital Pathology

Tucson, AZ · On-site

You may act as a primary spokesperson for corporate scientific affairs and provide strategic advice to top management regarding the evolution of digital pathology and assay innovation. Furthermore ...

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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.

Scientist, Computational & Digital Pathology

Acelabio, Inc

San Diego, CA • On-site

Full-time

Posted 15 days ago

Job description

As a subject matter expert, this role will support the execution and delivery of clinical and translational biomarker services for Sponsor and internal R&D studies. This role will function to lead and support immunostaining assay development, biomarker projects, and advanced image analysis including developing and applying AI-driven image analysis algorithms to quantitatively assess histopathology and biomarker data, while also serving as a scientific partner to clients from study design through data interpretation and presentation.
The role will work cross-functionally with pathologists, laboratory technicians, scientists, project operations and business development teams, and will directly support pharmaceutical and biotechnology clients in planning, executing, and interpreting biomarker studies across preclinical and clinical programs.
What you'll be doing:
Lead/Support Scientific Efforts for Computational and Digital Pathology
  • Act as a scientific interface with clients, participating in client meetings, protocol reviews and data review meetings
  • Provide expert input on design and conduct of clinical or translational studies incorporating biomarker endpoints and "omics and non-omics" techniques including but not limited to immunostaining, proteomics, spatial biology, computational and digital pathology.
  • Prepare and/or support the preparation and review of project plans, analysis plans and study reports, abstracts, manuscripts, and technical reports.
  • Perform and/or support the analysis and interpretation of biomarker data including providing clear, scientifically rigorous data visualizations, analyses, and summaries.



Assay Development, Image Analysis, and Algorithm Development
  • Partner with laboratory technicians to support immunostaining assay development, optimization, and validation.
  • Define analytical endpoints, scoring strategies, and quality control metrics aligned with assay performance.
  • Contribute to assay validation documentation and analytical reports as required.
  • Develop, validate, and maintain image analysis pipelines for immunostaining (IHC), immunofluorescence (IF), in situ hybridization (ISH), and multiplex assays.
  • Design and implement AI/machine learning algorithms for tissue segmentation, cell characterization, and biomarker quantification.
  • Collaborate with pathologists through end-to-end workflows including assay development, validation, quantitative read-outs and interpretation.
  • Ensure traceability, reproducibility, and documentation of analysis workflows.


Business Development Support

  • Assist with business development activities including participating in client meetings, requests for proposal (RFP) responses, project pricing, protocol review, and bid defenses as needed.
  • Provide advice to sponsors seeking guidance
  • Assist in the development of sales, marketing and promotional materials as needed.


Product and Service Innovation Support

  • Contribute to continuous improvement of computational, digital pathology, spatial biology and translational research capabilities.
  • Assist in the development of our product/service platforms to ensure all stakeholder requirements are being considered, documented, and translated to the final solution.
  • Participate in brainstorming meetings and functionality reviews.


Qualifications

  • Post-graduate degree / professional designation; 7-9 years related experience, plus continuous training and knowledge/skills upgrading
  • Strong experience with digital pathology and image analysis
  • Solid understanding of histopathology and immunostaining techniques
  • Experience working in CRO, laboratory, biopharma and/or regulated research environment, ideally supporting clinical and translational research studies
  • Experience presenting data to external stakeholders or at scientific meetings
  • Scientific rigor and attention to detail - able to communicate complex scientific concepts and results clearly to all stakeholders
  • Strong written and oral English communication skills, problem-solving and analytical thinking
  • Ability to manage multiple projects in fast-paced environment with a collaborative mindset across disciplines



Note: Compensation is dependent on the unique experience, skills, and education the successful candidate brings to the role. The range above represents an estimated base salary that we would expect to compensate at, but we encourage applicants to speak with the member of the TA team if contacted for an initial phone screen should your expectations differ from those listed above.

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