Deep Learning Software Engineer

We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). 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.

• Ph.D. in a relevant field, or M.S. with 3+ years, or B.S. with 5+ years of relevant experience in image analysis 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 is a plus.

• Strong organizational and time management skills, with flexibility to adapt to shifting priorities.
• Ability to write clean, efficient, and well-documented code.
• Excellent interpersonal skills, with the ability to both collaborate and work independently.
• Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports.
• Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner.