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Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · Remote

$116.35K - $210.33K/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

$116.35K - $210.33K/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 ...

InterImage

Image Processing SME

Fort George G Meade, MD · On-site

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

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 May 29, 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 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 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.

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.
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Image Analysis jobs near you
Infographic showing various Image Analysis job openings in the United States as of May 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,107 per year, or $27.9 per hour.

Cardiac CT Image Analyst

Caristo Diagnostics

Stamford, CT • On-site

Full-time

Posted 21 days ago

Job description

Cardiac CT Image Analyst - Biomedical Imaging / AI Diagnostics
About Caristo Diagnostics
Caristo Diagnostics is a global leader in AI-powered cardiovascular imaging and biomedical diagnostics. A spinout from the University of Oxford, Caristo's award-winning technology uses artificial intelligence (AI) to transform cardiac CT imaging into a tool for early detection of heart disease. By analyzing routine medical images to identify hidden
inflammation and plaque, Caristo enables clinicians to predict heart attack risk before symptoms appear.
Our flagship CaRi-Heart® and CaRi-Plaque™ technologies have been featured in The Lancet, JACC, and the European Heart Journal, and Cardiovascular Research
CaRi-Plaque™ is now FDA-approved for clinical use in the U.S. Learn more at caristo.com.
Position Summary
We are seeking a Cardiac CT Image Analyst with a background in biomedical science, medical imaging, radiology, or life sciences to join our expanding Image Analysis team in Stamford, Connecticut. You'll collaborate closely with colleagues in both the U.S. and the U.K., analyzing cardiac CT datasets using Caristo's proprietary AI imaging software.
This position is ideal for someone excited by AI-driven healthcare innovation, quantitative image analysis, and the opportunity to shape the future of cardiovascular diagnostics. A comprehensive training program will be provided.
Key Responsibilities
  • Analyze cardiac CT images and medical imaging data using Caristo's AI-based software in accordance with company SOPs.
  • Manage and process patient imaging data securely and accurately.
  • Provide timely support to internal and external stakeholders, including physicians and researchers.
  • Identify and flag cases that are non-analyzable due to technical or clinical limitations.
  • Support the development of internal standard operating procedures (SOPs) for image analysis workflows.
  • Participate in risk management activities for new medical device development.
  • Contribute to ongoing research projects (e.g., ground-truth data generation for machine learning).
  • Provide feedback for AI model improvements and software testing.

Required Skills and Experience
Essential:
  • Associate or Bachelor's degree in biomedical science, medical technology, radiology, life sciences, or a related field (e.g., digital health, public health, biomedical engineering).
  • Strong analytical skills and attention to detail.
  • Excellent communication and data interpretation abilities.
  • Proficiency with Microsoft Office, particularly Excel and database management.
  • Strong organizational skills and ability to prioritize multiple tasks.
  • Enthusiasm for medical imaging, AI, and healthcare innovation.

Desirable:
  • Experience with DICOM images, image segmentation, or quantitative data analysis.
  • Familiarity with Python, MATLAB, or similar data analysis tools.
  • Experience in a clinical, radiology, or biomedical research setting.
  • GCP certification and/or understanding of clinical research standards.
  • Exposure to AI/ML-based imaging platforms or digital diagnostics.

Why Join Caristo
  • Be part of a global medical technology company transforming cardiac care through AI and imaging innovation.
  • Join the founding U.S. team and contribute to our FDA-approved product rollout.
  • Work in a collaborative, mission-driven environment that values integrity, innovation, quality, and impact, and which supports personal growth.
  • Share the company values of pushing the boundaries, taking ownership, caring for each other and being candid and professional.
  • Competitive salary and benefits package.

Location
Stamford, Connecticut (on-site position)
Equal Opportunity
Caristo Diagnostics is committed to diversity and inclusion. We encourage applications from all qualified individuals, including those seeking to take the next step in their career.
Suggested Indeed Skills Tags
  • Biomedical Imaging
  • Cardiac CT
  • AI Imaging
  • Image Analysis
  • Medical Imaging
  • Radiology
  • DICOM
  • Data Analysis
  • Machine Learning
  • Python
  • MATLAB
  • Healthcare Technology
  • Cardiovascular Imaging
  • Quantitative Analysis
  • Medical Device
  • FDA-approved Technology
  • Life Sciences
  • Biomedical Research
  • Clinical Data
  • Digital Health

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