Deep Learning Expert​/Developer (On-site

Deep Learning Developer

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 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.