Deep Learning Expert​/Developer (On-site

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 wepay and promote)

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 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.

Key duties

• 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