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Image Analysis Jobs (NOW HIRING)

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 ...

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 ...

Develop and enhance automated image-analysis and post-processing pipelines that generate reliable, reproducible scientific results. * Collaborate with external customers and internal scientists to ...

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Develop and enhance automated image-analysis and post-processing pipelines that generate reliable, reproducible scientific results. * Collaborate with external customers and internal scientists to ...

New

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Image Analysis information

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How much do image analysis jobs pay per hour?

As of Jul 11, 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 kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior visual or image analysis specialists, data scientists, or digital imaging directors can earn $150,000 or more annually. These positions typically require advanced skills in image processing, machine learning, or computer vision, along with extensive experience and often a relevant degree or certification.

What is an Image Analysis job?

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.

How much do image analysts make?

Image analysts typically earn between $40,000 and $70,000 annually, depending on experience, location, and industry. Advanced skills in image processing tools and certifications can lead to higher salaries and career growth.

What does an image analyst do?

An image analyst examines visual data such as photographs, satellite images, or medical scans to identify, interpret, and extract relevant information. They often use specialized software and tools, and may work in fields like security, healthcare, or remote sensing to support decision-making and research.

What do you need to be an image analyst?

To become an image analyst, you typically need a bachelor's degree in fields such as computer science, engineering, or related areas. Skills in image processing, data analysis, and familiarity with tools like GIS or remote sensing software are important, along with strong attention to detail and problem-solving abilities.

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.

More about Image Analysis jobs
What cities are hiring for Image Analysis jobs? Cities with the most Image Analysis job openings:
What are the most commonly searched types of Image Analysis jobs? The most popular types of Image Analysis jobs are:
What states have the most Image Analysis jobs? States with the most job openings for Image Analysis jobs include:
Infographic showing various Image Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% 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

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

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Re-posted 23 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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