ZipRecruiter

Log In

2

Full Time Image Analysis Jobs (NOW HIRING)

Agilent

$124K - $232K/yr

... image analysis algorithms, and integrated diagnostic systems. This role serves as a key regulatory ... The full-time equivalent pay range for this position is $124,160.00 - $232,800.00/yr plus ...

SciTec

Staff / Sr Staff C++ Software Engineer

Boulder, CO

$102K - $157K/yr

Our teams focus on image analysis, low-latency data processing, detection, and tracking algorithms ... Ability to work full-time in-person in Boulder, CO office location * Ability to obtain and maintain ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA

... leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare ... image synthesis, text report mining, and more! We are currently hiring both full-time and interns ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare ... image synthesis, text report mining, and more! We are currently hiring both full-time and interns ...

SciTec

Staff / Sr Staff C++ Software Engineer

Boulder, CO · On-site

$102K - $157K/yr

Our teams focus on image analysis, low-latency data processing, detection, and tracking algorithms ... Ability to work full-time in-person in Boulder, CO office location * Ability to obtain and maintain ...

SciTec

Staff / Sr Staff C++ Software Engineer

Boulder, CO · On-site

$102K - $157K/yr

Our teams focus on image analysis, low-latency data processing, detection, and tracking algorithms ... Ability to work full-time in-person in Boulder, CO office location * Ability to obtain and maintain ...

Tamus

Postdoctoral Research Associate

Bryan, TX

$5.4K/mo

Bryan, TX Schedule: Full-Time * May be required to work weekends and/or after normal hours. * May ... Ability to perform advanced structural and functional image analysis. * 6 years of experience in ...

previous page

Showing results 41-60

All Jobsfull time JobsFull Time Image Analysis Jobs

Full Time Image Analysis information

See salary details

$25.5K

$80.1K

$102.5K

How much do full time image analysis jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time image analysis in the United States is $80,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $93,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Image Analysis vs Full Time Medical Imaging Technician?

AspectFull Time Image AnalysisFull Time Medical Imaging Technician
CredentialsTypically requires a degree in imaging, radiology, or related field; certifications varyRequires certification in radiologic technology; often a degree in radiologic sciences
Work EnvironmentPrimarily office or lab settings, analyzing images on computersHospitals, clinics, imaging centers; operating imaging equipment
Employer & IndustryHealthcare, research institutions, tech companiesHospitals, diagnostic labs, outpatient clinics

Full Time Image Analysis involves interpreting medical images using specialized software, often in an office setting. In contrast, Full Time Medical Imaging Technicians operate imaging equipment directly on patients. Both roles require relevant certifications and are integral to healthcare diagnostics, but they differ in daily tasks and work environment.

More about Full Time Image Analysis jobs

What cities are hiring for Full Time Image Analysis jobs?

Cities with the most Full Time 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 job categories do people searching Full Time Image Analysis jobs look for?

The top searched job categories for Full Time Image Analysis jobs are:

Full Time Image Analysis jobs near you
Infographic showing various Full Time Image Analysis job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $80,105 per year, or $38.5 per hour.

Deep Learning Expert/Developer (On-site)

Ripple Effect

Bethesda, MD • On-site

$90K - $103K/yr

Full-time

Posted 26 days ago

Job description

General Information
  • Job Code: SHR-BI-03
  • Location: NIH Campus onsite, with ad-hoc telework
  • Employee Type: Exempt, Full-Time Regular
  • Clearance: Must be able to work in the U.S. without employer sponsorship
  • Salary Range: $90,267-$103,808 (how we pay and promote)

Position Overview
Are you passionate about turning complex data into meaningful insights? As a Deep Learning Developer on the Ripple Effect team, you will play a pivotal role in shaping our success in this important role with the NIH! Your work will directly impact the Lister Hill Center's work. This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.
While not an exhaustive list, the key duties for the position include:
    • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.
    • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.
    • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
    • Other related duties as assigned.

Requirements
Minimum Qualifications
  • Master's degree
  • 5 or more years of experience in image analysis, machine learning, and deep learning

Basic Requirements
    • Proven experience writing manuscripts or papers for journals and conferences.
    • Extensive experience with medical image processing, data analysis, and classification techniques.
    • Expertise in developing custom deep learning workflows, including visualizing activations.
    • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
    • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
    • Experience in statistical analysis of experimental results.
    • Familiarity with Linux and Windows environments.
    • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
    • Expertise in programming with Python, Keras, and PyTorch.
    • Experience in developing Android, iOS, or web applications.
    • Must reside within a commutable distance from the NIH main campus in Bethesda, MD, and be willing to report on site on a daily basis for this role.

Skills That Set You Apart
  • PhD in computer science, computer engineering, or relevant field
  • Familiarity with Linux and Windows environments.
  • Intermediate experience with (levels 03+) Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint.
  • Intermediate experience with workplace AI tools, including their limitations and risks, and how they can be applied to support project management tasks.

About Ripple Effect
Ripple Effect is a woman-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the "Best and Brightest Companies to Work For" in 2024 and 2025 by the NABR, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors.
Benefits
At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences.
Learn more about our benefits and culture here.

Apply