Deep Learning Expert/Developer (On-site)

Location: NIH Campus onsite, with ad-hoc telework. Must be able to work in the U.S. without employer sponsorship.

About the role

As a Deep Learning Developer on the Ripple Effect team, you will play a pivotal role in shaping our success in partnership with the NIH. Your work will directly impact the Lister Hill Center's initiatives by applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. This role focuses on developing tools for retinal disease detection, severity classification, disease progression prediction, and more.

Responsibilities

• 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, or web-based platforms.
• Other related duties as assigned.

Requirements

• Master’s degree.
• 5 or more years of experience in image analysis, machine learning, and deep learning.
• 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.

Skills

• PhD in computer science, computer engineering, or relevant field.
• 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 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.

Pay

Salary range: $90,267–$103,808.

Benefits

Ripple Effect offers a comprehensive total rewards package, including competitive pay, exceptional benefits, and programs that support work/life balance and personalized preferences.