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Pathology Image Analysis Jobs in California (NOW HIRING)

Aequor

Associate Scientist

South San Francisco, CA

... image analysis. • Participate in collaborate with Pathologists, Scientists and Research Associates on multiple concurrent projects to evaluate and deliver data, contribute to early programs and ...

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Pathology Image Analysis information

What is pathology image analysis?

Pathology image analysis is the use of computer algorithms and software to examine and interpret digital images of tissue samples, often obtained through microscopes. This technology assists pathologists in identifying disease characteristics, quantifying features such as cell counts or molecular markers, and improving diagnostic accuracy. Automated image analysis can speed up workflows, reduce human error, and enable more objective and reproducible assessments, particularly in cancer diagnosis and research. It is an evolving field that combines pathology, computer vision, and artificial intelligence.

What are the key skills and qualifications needed to thrive in pathology image analysis, and why are they important?

To excel in Pathology Image Analysis, a strong background in biomedical sciences, image processing, and data analysis is essential, often complemented by an advanced degree in pathology, bioinformatics, or a related field. Familiarity with digital pathology platforms, image analysis software (such as ImageJ or QuPath), and programming languages like Python or R is typically required. Attention to detail, problem-solving ability, and effective collaboration with pathologists and researchers are important soft skills for this role. These competencies ensure accurate interpretation of complex visual data, driving reliable diagnostic results and supporting research advancements.

What are some common challenges faced by professionals working in pathology image analysis, and how can they be addressed?

Professionals in pathology image analysis often encounter challenges such as managing large volumes of high-resolution imaging data and ensuring accuracy in automated image interpretation. Staying updated with rapidly evolving software tools and algorithms can also be demanding. To address these issues, ongoing training, collaboration with bioinformaticians and pathologists, and adopting standardized data management protocols are essential. Regular team meetings and access to professional development resources help ensure accuracy, efficiency, and continuous learning in this dynamic field.

What is the difference between Pathology Image Analysis vs Histotechnologist?

AspectPathology Image AnalysisHistotechnologist
Required CredentialsCertification in digital pathology or related fields, relevant degreesASCP certification, histotechnology degree
Work EnvironmentLaboratories, hospitals, research centers focusing on digital slide analysisHistology labs, hospitals preparing tissue samples
Employer & Industry UsageMedical labs, research institutions, digital pathology companiesHospitals, diagnostic labs, pathology departments
Common Search & ComparisonYesYes

Pathology Image Analysis involves evaluating digital pathology slides using specialized software, often requiring knowledge of digital tools and image processing. Histotechnologists prepare tissue samples and create slides for microscopic examination. While both roles work within pathology labs, Pathology Image Analysis focuses on digital data interpretation, whereas Histotechnologists focus on sample preparation. Understanding these differences helps professionals and employers identify the right skills and certifications needed for each role.

Are pathology image analysis jobs in demand?

Pathology image analysis jobs are in increasing demand due to advancements in digital pathology and the integration of artificial intelligence tools. These roles often require skills in image processing, machine learning, and familiarity with pathology software, and they are expected to grow as healthcare institutions adopt digital diagnostics.

What are popular job titles related to Pathology Image Analysis jobs in California?

For Pathology Image Analysis jobs in California, the most frequently searched job titles are:

What job categories do people searching Pathology Image Analysis jobs in California look for?

The top searched job categories for Pathology Image Analysis jobs in California are:

What cities in California are hiring for Pathology Image Analysis jobs?

Cities in California with the most Pathology Image Analysis job openings:

Pathology Image Analysis jobs near you
Infographic showing various Pathology Image Analysis job openings in California as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Scientist, Assay Development & Digital Pathology (AcelaBio)

San Diego, CA • On-site

Alimentiv
See more jobs at Alimentivexternal

$37.50 - $47/hr

Full-time

Re-posted 10 days ago

Job description

About AcelaBio

AcelaBio is a CAP- and CLIA-accredited specialty histopathology laboratory based in San Diego, CA. We deliver anatomic histopathology, immunostaining, digital image analysis, spatial transcriptomics, and biomarker endpoints to pharmaceutical and biotechnology sponsors. Our team is scientifically driven, client-focused, and committed to advancing translational research through rigorous, reproducible methods.

About the opportunity

This is a high-impact, technically hands-on role at the intersection of immunostaining assay development, quantitative image analysis, and client science. You will build and optimize IHC, multiplex IF, and ISH assays from the ground up, develop and maintain AI-assisted image analysis pipelines, and serve as a scientific lead for sponsor studies across preclinical and clinical programs.

You will work directly with pathologists, laboratory technicians, project operations, and business development teams, and will be a visible scientific partner to our pharmaceutical and biotechnology clients. If you are someone who thrives on solving complex assay challenges, values scientific rigor, and enjoys translating data into clear, actionable insights for sponsors, this role is built for you.

Role Logistics: On-site, San Diego (required). Travel expectations ~ 10% 

Responsibilities
  • What you'll be doing:
Assay Development, Image Analysis (Core Focus):
  • Design, develop, optimize, and validate immunostaining assays including single-plex IHC, multiplex immunofluorescence (mIF), in situ hybridization (ISH), and spatial biology platforms.
  • Define analytical endpoints, scoring strategies, and QC metrics aligned with assay performance requirements.
  • Develop, validate, and maintain image analysis pipelines using platforms such as Visiopharm, HALO, or equivalent software.
  • Build and implement AI/machine learning algorithms for tissue segmentation, cell phenotyping, and biomarker quantification.
  • Ensure traceability, reproducibility, and thorough documentation of all analysis workflows.
  • Contribute to assay validation documentation, analytical reports, and regulatory-aligned deliverables.
  • Partner with histotechnicians to support hands-on assay troubleshooting and knowledge transfer
Scientific Leadership & Client Engagement;
  • Serve as a scientific interface for sponsors, participating in protocol reviews, study design discussions, and data review meetings.
  • Provide expert guidance on biomarker study design incorporating omics and non-omics endpoints.
  • Prepare and review project plans, analysis plans, study reports, abstracts, and technical manuscripts. 
  • Deliver clear, scientifically rigorous data visualizations, analyses, and summaries tailored to sponsor audiences 
 
Business Development and Innovation:
  • Support RFP responses, project pricing, protocol review, and bid defense activities.
  • Contribute to the development of sales, marketing, and promotional scientific content.
  • Drive continuous improvement of our computational pathology, spatial biology, and translational research service offerings.
  • Participate in capability development and functionality reviews to expand the AcelaBio service portfolio.
Qualifications

  • Education and Experience:

    • Graduate degree (M.Sc. or Ph.D.) in a relevant scientific discipline (pathology, cell biology, molecular biology, biomedical engineering, or related field).
    • 7 or more years of hands-on experience in IHC/IF assay development and image analysis in a CRO, biopharma, or regulated research environment.
    • Demonstrated experience building image analysis algorithms or pipelines in platforms such as Visiopharm, HALO, or similar.
    • Exposure to spatial biology platforms (e.g., 10x Visium, Xenium, Akoya PhenoCycler) is a strong asset.
  • Technical Skills & Competencies:
    • Deep practical knowledge of chromogenic IHC and multiplex immunofluorescence, including antibody selection, panel design, optimization, and troubleshooting.
    • Proficiency in digital pathology image analysis and quantitative biomarker readout strategies.
    • Familiarity with AI/ML approaches for histopathology applications.
    • Understanding of regulatory and GxP expectations for assay validation documentation.
    • Scientific rigor and meticulous attention to detail.
    • Ability to communicate complex scientific concepts clearly to both technical and non-technical stakeholders.
    • Strong written and oral English communication skills; comfortable presenting at client meetings and scientific forums.
    • Ability to manage multiple projects in a fast-paced, client-driven environment.
    • Collaborative mindset with the ability to work across laboratory, scientific, and operational functions.
+ bonus
 
 
Stay Alert to Recruitment Scams
We have been made aware of individuals posing as our recruiters and contacting candidates with fraudulent opportunities. Our hiring process always includes direct engagement with a recruiter or hiring manager, and we will never ask for sensitive personal information early in the process. Official communication will only come from our company email domains. If something doesn’t feel right, we encourage you to verify before responding.
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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.