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Histology Image Analysis Jobs (NOW HIRING)

Histology - Image Analysis

Ridgefield, CT · On-site

$40.04 - $42.90/hr

Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data. * Apply classical image processing and machine learning methods for feature extraction, segmentation, and ...

... image analysis. * Responsible for maintenance, operation, qualification/validation of histology equipment, document revisions, and training technicians and peers in histological sample handling ...

New

Histology Lab Analyst

Somerville, NJ · On-site

$25.99 - $32.49/hr

... image analysis. * Responsible for maintenance, operation, qualification/validation of histology equipment, document revisions, and training technicians and peers in histological sample handling ...

New

Histology Scientist II Location: 33 Avenue Louis Pasteur, Boston, MA Rate: $39/HR Qualifications ... Basic understanding of image analysis methodologies and microscopy techniques, including skills in ...

... and image analysis. This individual is also responsible for maintenance, operation, qualification/validation of histology equipment, document revisions, and training technicians and peers in ...

New

Support image analysis, quantification, and interpretation of histological endpoints. Research & Development Support * Collaborate with scientists investigating liver injury, fibrosis, inflammation ...

New

Support image analysis, quantification, and interpretation of histological endpoints. Research & Development Support * Collaborate with scientists investigating liver injury, fibrosis, inflammation ...

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Histology Image Analysis information

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How much do histology image analysis jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for histology image analysis in the United States is $35.05, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $41.59 per hour, depending on experience, location, and employer.

What is histology image analysis?

Histology image analysis is the process of using digital tools and software to examine and interpret microscopic images of tissue samples. This analysis helps pathologists and researchers identify cellular structures, detect abnormalities, and quantify features such as cell count or tissue area. The process often involves image acquisition, segmentation, and measurement, which can be automated or manually performed. Histology image analysis is crucial in medical diagnostics, research, and drug development, where accurate tissue evaluation is essential.

What are the key skills and qualifications needed to thrive as a histology image analysis specialist, and why are they important?

To excel in Histology Image Analysis, you need a solid background in biology or biomedical sciences, experience with microscopy, and familiarity with histological techniques. Proficiency in image analysis software such as ImageJ, QuPath, or proprietary digital pathology platforms, as well as knowledge of data management systems, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure accurate interpretation and effective collaboration with research or clinical teams. These competencies are vital for generating reliable data, supporting diagnostics or research, and maintaining the integrity of sample analysis.

What are some common challenges faced in a histology image analysis role, and how can they be addressed?

Professionals in Histology Image Analysis often encounter challenges such as handling large volumes of high-resolution image data, ensuring accurate annotation, and minimizing variability in interpretation. These challenges can be addressed by staying current with image analysis software, leveraging automation tools, and collaborating closely with pathologists and lab technicians. Regular training in new analytical methods and maintaining clear documentation also help ensure consistent and reliable results.

What is the difference between Histology Image Analysis vs Histology Technician?

AspectHistology Image AnalysisHistology Technician
Required CredentialsTypically requires a degree in biology, histology, or related field; familiarity with imaging softwareAssociate's degree or certification in histotechnology; training in tissue processing
Work EnvironmentLaboratory settings, often involving digital imaging and analysis softwareHistology labs, preparing tissue samples for microscopic examination
Employer & Industry UsageResearch institutions, biotech companies, hospitalsHospitals, diagnostic labs, research facilities

Histology Image Analysts focus on analyzing tissue images using specialized software, while Histology Technicians prepare tissue samples for microscopic examination. Both roles are essential in pathology and research, but they differ in responsibilities and skill sets.

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What cities are hiring for Histology Image Analysis jobs?

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What states have the most Histology Image Analysis jobs?

States with the most job openings for Histology Image Analysis jobs include:

What job categories do people searching Histology Image Analysis jobs look for?

The top searched job categories for Histology Image Analysis jobs are:

Infographic showing various Histology Image Analysis job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $72,895 per year, or $35 per hour.

Histology - Image Analysis

Varite

Ridgefield, CT • On-site

$40.04 - $42.90/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Scientist II

VARITE is looking for qualified Scientist II in Ridgefield, CT.

Job Title: Scientist II

Location: Ridgefield, CT

Contract Duration: 24 months (Possible Extension)

Pay Rate Range: $40.04 - $42.90/hr. on W2

Work Authorization: Only USC or GC

Here's What You'll Do

Duties:

  • Develop and optimize image analysis pipelines for 2D and 3D biomedical images.
  • Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data.
  • Apply classical image processing and machine learning methods for feature extraction, segmentation, and classification. Including integration of multiple image analysis platforms (e.g., HALO, Visiopharm, QuPath).
  • Collaborate with pathologists, biologists, and data scientists to define analytical endpoints.
  • Validate image derived biomarkers and ensure analytical rigor.
  • Document workflows and ensure reproducibility of analyses.
  • Support interpretation and visualization of image based data for scientific reports.
  • Help cross lab collaboration through image and algorithm transfer.
Skills
  • Proficient in scientific programming languages (R, Python) and have experience applying machine learning techniques, preferably in pathology images (H&E/IHC/mIF).
  • Extensive experience applying machine learning techniques.
  • Experience in cell image analysis and marker quantification from multiplex IHC for digital pathology.
  • Experience with some of these image analysis tools (e.g., HALO AI, Visiopharm, QuPath, CellProfiler).
  • Strong problem-solving and independent thinking skills.
  • Experience in tumor immunology and histopathology is a plus.
  • Previous experience in industry and biotech is desired.
  • Education:
  • Bachelor's Degree from an accredited institution with three-plus (3+) years of experience in related scientific discipline or Master's Degree from an accredited institution in related scientific discipline or equivalent experience in related field.
Benefits

We offer a comprehensive benefits package designed to support the health, well-being, and financial security of our employees and their families. Eligible employees may receive:

  • Health Insurance: Medical, dental, and vision coverage
  • Retirement Plans: Participation in a company-sponsored retirement savings plan.
  • Legal Service Plans: Offering access to attorneys for legal advice and representation.

VARITE is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.