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Day Medical Image Processing Jobs in Washington (NOW HIRING)

Mondo

Signal/Image Process Engineer

Manassas, VA · On-site

$80 - $100/hr

Onsite, Manassas, VA (5 days/week or 4x10-hour days) Start Date: ASAP (late August / early ... Translate Systems Engineering and Signal Processing algorithm designs into optimized C/C code ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$116K - $210K/yr

Conduct applied image processing and advanced analysis of radar imagery, including both literal ... days with an anticipated close date of no earlier than 3 days after the original posting date as ...

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Infographic showing various Day Medical Image Processing job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Deep Learning Expert/Developer (On-site)

Bethesda, MD • On-site

Ripple Effect
Business Management Consulting • 51 - 200 employees
Learn more about Ripple Effectexternal

$90K - $103K/yr

Other

Re-posted 20 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 aDeep Learning Developeron the Ripple Effect team, you will play a pivotal rolein shaping our success in this important role with the NIH!Your work will directlyimpact 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.
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 withworkplace AI tools, including their limitations and risks, and how they can be applied to support project management tasks.
About Ripple Effect

Ripple Effect isa woman-owned, 200-person company of communicators, scientists, researchers, and analysts.Established in 2003, andnamed asone 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.

At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includescompetitive 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.

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