Sr. Radiomics and AI Engineer (Radiology)

Johns Hopkins University • Baltimore, MD

18d • $104,035 - $182,245 • Onsite

About The Position

The Sr. Radiomics and AI Engineer develops and implements algorithms and software to analyze medical images and extract clinically relevant features using machine learning and deep learning techniques. The position supports the Department of Radiology’s Diagnostic Imaging Division and maintains the cluster, computational, and storage resources in the Felix lab used to train and deploy AI models.

Requirements

• Master’s degree in Computer Science, Biomedical Engineering, or a related field.
• Two years of experience with machine learning, deep learning, and data analysis.
• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma or equivalent, subject to the JHU equivalency formula.

Responsibilities

• Develop and implement machine learning and deep learning algorithms to analyze medical images.
• Collaborate with radiologists, oncologists, and other healthcare professionals to identify clinically relevant features that can be extracted from medical images.
• Design and implement data preprocessing pipelines to ensure high-quality input data for algorithms.
• Develop and maintain software tools for data analysis, visualization, and reporting.
• Test and validate algorithms and software using clinical datasets and real-world scenarios.
• Continuously monitor and improve algorithm and software performance.
• Stay up to date with research and developments in radiomics, medical imaging, and artificial intelligence.
• Maintain the Felix lab’s cluster, computational, and storage resources used for training and deploying AI models.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior