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Image Analysis Scientist Jobs (NOW HIRING)

InterImage

Experience analyzing and developing algorithms to correct scientific image data containing aberrations, lensing defects, optical anomalies, distortions, non-linearity, etc. Expertise in developing ...

TalentBurst, Inc.

Scientist II

Ridgefield, CT · On-site

Scientist II Location: Ridgefield, CT 06877 Duration: 24 Months Duties ... Develop and optimize image analysis pipelines for 2D and 3D biomedical images. * Perform ...

Apogee Integration, Llc

Image Scientist

Las Cruces, NM · On-site

Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success. Position * Our ...

Veracyte

Senior Bioimage Scientist

San Diego, CA · On-site

$142K - $156K/yr

Drive image-based tumor phenotyping and quantitative analyses to characterize tumor, stromal, and ... An experiencedbioimage scientist with deep hands-on expertise in tissue-based imaging assays ...

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Image Analysis Scientist information

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$81.5K

$134.1K

$183K

How much do image analysis scientist jobs pay per year?

As of Jun 10, 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.

Scientist, Computational & Digital Pathology

Acelabio, Inc

San Diego, CA

Full-time

Posted 18 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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