Deep Learning Software Engineer
NIH-NLM-LH(1 month ago)
About this role
The Deep Learning Software Developer will support projects at the Applied Clinical Informatics Branch within the Lister Hill National Center for Biomedical Communications (NLM/NIH), applying deep learning to biomedical images and clinical data to inform clinical decision-making. The role emphasizes development of tools for retinal disease detection, severity classification, and disease progression prediction, and translating research models to deployable mobile and web applications. The position involves work in high-performance computing environments and requires strong scientific communication and documentation skills.
Required Skills
- Deep Learning
- Medical Imaging
- Image Analysis
- Data Analysis
- Classification
- Model Visualization
- SVM
- MLP
- CNN
- Random Forest
+16 more
Qualifications
- Ph.D. in Relevant Field
- M.S. with 3+ Years Relevant Experience
- B.S. with 5+ Years Relevant Experience
About NIH-NLM-LH
nih.govThe National Institutes of Health (NIH) is the primary biomedical research agency of the U.S. Department of Health and Human Services and the federal focal point for medical research. NIH funds, conducts, and coordinates basic, clinical, and translational research across its institutes and centers, supports grants, training, and clinical trials, and advances disease prevention and public health. Its website provides health information and resources for the public, patients, clinicians, researchers, and educators, including funding opportunities, scientific data, and research findings. Widely recognized as one of the world’s foremost medical research centers, NIH’s work drives discovery to improve health and extend healthy lives.