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Image Analysis Jobs (NOW HIRING)

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

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

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site

$92K - $166K/yr

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

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site

$92K - $166K/yr

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

InterImage

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

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How much do image analysis jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for image analysis in the United States is $27.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $29.81 per hour, depending on experience, location, and employer.

What is an image analysis?

An Image Analysis job involves processing and interpreting visual data from images using software, algorithms, and machine learning techniques. Professionals in this field work with industries like healthcare, security, agriculture, and automation to extract meaningful insights from images. Tasks may include object detection, pattern recognition, and quality inspection. Strong skills in computer vision, programming (Python, MATLAB), and data analysis are essential for this role.

What types of projects or industries can image analysis professionals expect to work in?

Image Analysis professionals work on a variety of projects across industries such as healthcare, remote sensing, autonomous vehicles, manufacturing, and security. Typical responsibilities may include processing medical images for diagnostics, developing computer vision algorithms for automation, or analyzing satellite imagery for environmental monitoring. Collaboration with domain experts—like doctors, engineers, or data scientists—is common, as solutions often require interdisciplinary knowledge. Many roles offer structured career development, with opportunities to advance into senior analyst, technical lead, or specialized research positions.

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

To thrive in Image Analysis, you need a strong background in mathematics, computer vision, and data science, often supported by a relevant degree such as computer science, engineering, or a related field. Proficiency with image processing tools and programming languages like Python, MATLAB, OpenCV, and familiarity with machine learning frameworks are commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These competencies are critical for accurately analyzing visual data and delivering actionable insights in diverse settings like healthcare, research, and industry.

How to become an image analysis?

To become an image analyst, typically a bachelor's degree in computer science, engineering, or a related field is required. Developing skills in image processing, machine learning, and using tools like MATLAB or Python is essential, along with experience in data analysis and computer vision techniques.

What does an image analysis do?

An image analysis professional examines visual data to identify, interpret, and extract information from images using tools like computer vision and machine learning algorithms. They often work with software such as MATLAB or Python and may require knowledge of data labeling, pattern recognition, and image processing techniques. Their work supports applications in fields like healthcare, security, and manufacturing.
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Image Analysis jobs near you
Infographic showing various Image Analysis job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $58,107 per year, or $27.9 per hour.

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

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Re-posted 19 days ago

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 data

  • Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data

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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