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Image Analysis Scientist Jobs (NOW HIRING)

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Scientist II - histology image analysis - 37218960

Alameda, CA · On-site

$34 - $44/hr

Scientist II Location: Ridgefield, CT Job ID: 37218960 Job Length: 2 Years Renewable Pay Rate: $44/hr. W2 Onsite Role - Open to PhD. Candidates Desired skills in histology image analysis not only ...

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · Remote

$116K - $210K/yr

Position Summary This expert technical position responsible for leading the analysis, exploitation ... The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data ...

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · On-site

$116K - $210K/yr

Position Summary This expert technical position responsible for leading the analysis, exploitation ... The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data ...

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Image Analysis Scientist information

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$134.1K

$183K

How much do image analysis scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for image analysis scientist in the United States is $134,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What does an Image Analysis Scientist do?

An Image Analysis Scientist specializes in developing and applying algorithms and techniques to interpret and extract meaningful information from digital images. Their work often involves using machine learning, computer vision, and statistical analysis to process images from sources like microscopes, satellites, or medical scans. These scientists play a key role in industries such as healthcare, remote sensing, and biotechnology, helping to automate image-based data interpretation and support decision making. The job typically requires strong programming skills and a background in mathematics, statistics, or a related scientific field.

What are some of the common challenges faced by Image Analysis Scientists when working with large datasets?

Image Analysis Scientists often encounter challenges such as managing and processing extremely large datasets, which can strain computational resources and storage. Ensuring data quality and consistency across diverse imaging modalities is another key hurdle. Additionally, developing robust algorithms that generalize well to new data while minimizing false positives or negatives can be complex. Collaboration with interdisciplinary teams, including biologists, engineers, or clinicians, is essential to accurately interpret results and refine analysis pipelines.

What are the key skills and qualifications needed to thrive as an Image Analysis Scientist, and why are they important?

To thrive as an Image Analysis Scientist, you need a solid background in computer vision, data analysis, and a relevant degree in fields like computer science, engineering, or physics. Familiarity with programming languages (such as Python or MATLAB), image processing libraries (OpenCV, scikit-image), and experience with machine learning frameworks are typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex results clearly are standout soft skills. These competencies are crucial for accurately interpreting visual data, developing robust analytical solutions, and translating findings into actionable insights.

What is the difference between Image Analysis Scientist vs Data Scientist?

AspectImage Analysis ScientistData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with image processing and machine learningBachelor's or Master's in Data Science, Statistics, or related fields; strong programming and analytical skills
Work EnvironmentResearch labs, healthcare, tech companies focusing on image dataBusiness, finance, tech firms analyzing large datasets
Industry UsageMedical imaging, remote sensing, computer visionFinance, marketing, e-commerce, tech

While both roles involve data analysis and machine learning, Image Analysis Scientists specialize in processing and interpreting visual data, often in healthcare or remote sensing, whereas Data Scientists work with diverse datasets across various industries. The roles share similar skills but focus on different types of data and applications.

More about Image Analysis Scientist jobs
What states have the most Image Analysis Scientist jobs? States with the most job openings for Image Analysis Scientist jobs include:
What job categories do people searching Image Analysis Scientist jobs look for? The top searched job categories for Image Analysis Scientist jobs are:
Image Analysis Scientist jobs near you
Infographic showing various Image Analysis Scientist job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $134,126 per year, or $64.5 per hour.
Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Posted 22 days ago

Job description

Our client is a global, research-driven pharmaceutical manufacturer focusing on treatment options for diseases and conditions for which there is no satisfactory treatment option to date. The company is looking for a Computational Image Analysis Scientist - 2D/3D Biomedical Imaging to join the team. This is an amazing opportunity to work on cutting edge treatments and make a difference!
Job Title: Computational Image Analysis Scientist - 2D/3D Biomedical Imaging
Pay rate: $39/hr.- $42/hr.
Location: Ridgefield, CT
Job type: 2-year contract
Position Summary
We are seeking a Computational Image Analysis Scientist to develop, optimize, and apply advanced image analysis workflows for 2D and 3D biomedical imaging data. The role focuses on quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets to support biomarker discovery, translational research, and preclinical/clinical studies.
The ideal candidate combines strong programming and machine learning expertise with hands-on experience in digital pathology and a collaborative mindset for working with multidisciplinary scientific teams.
Key Responsibilities
  • Develop, implement, and optimize image analysis pipelines for 2D and 3D biomedical imaging datasets
  • Perform quantitative analysis of histology, IHC, IF, and multiplex imaging (mIF) data
  • Apply classical image processing and machine learning methods for:
    • Image segmentation
    • Feature extraction
    • Cell detection and classification
  • Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data
  • Integrate and work across digital pathology platforms including:
    • HALO AI
    • Visiopharm
    • QuPath
    • CellProfiler
  • Collaborate closely with pathologists, biologists, and data scientists to define analytical endpoints and experimental design
  • Validate image-derived biomarkers and ensure scientific and analytical rigor
  • Document workflows to ensure reproducibility and regulatory-grade traceability
  • Support interpretation, visualization, and presentation of imaging-derived data for scientific reports and publications
  • Enable cross-lab collaboration through transfer of image analysis workflows and algorithms

Required Qualifications
  • Bachelor's degree with 3+ years of experience, or Master's degree in a relevant scientific discipline (or equivalent experience)
  • Strong proficiency in Python and/or R for scientific computing and data analysis
  • Demonstrated experience in machine learning applied to image data
  • Hands-on experience with digital pathology or biomedical image analysis
  • Experience working with H&E, IHC, and multiplex immunofluorescence (mIF) datasets
  • Proven ability to perform cell segmentation, classification, and marker quantification
  • Experience using at least one digital pathology or image analysis platform (e.g., HALO, Visiopharm, QuPath, CellProfiler)
  • Strong problem-solving skills and ability to work independently in a research-driven environment

Preferred Qualifications
  • Experience in tumor immunology, histopathology, or spatial biology
  • Prior experience in biotech, pharmaceutical, or industry research environments
  • Familiarity with advanced spatial or multiplex imaging technologies

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