Develop and implement algorithms and software to analyze medical images and extract clinically relevant features using machine learning and deep learning techniques for the Department of Radiology-Diagnostic Imaging Division at Johns Hopkins University
Requirements
- Proficiency in programming languages such as Python, C++, and MATLAB
- Familiarity with software development best practices, including version control, testing, and documentation
- Experience with machine learning, deep learning, and data analysis
- Experience in healthcare or medical research
- Experience working in a multidisciplinary team environment
Responsibilities
- Develop and implement machine learning and deep learning algorithms to analyze medical images
- Design and implement data preprocessing pipelines to ensure high-quality input data for the algorithms
- Develop and maintain software tools for data analysis, visualization, and reporting
- Test and validate the algorithms and software using clinical data sets and real-world scenarios
- Continuously monitor and improve the performance of the algorithms and software
- Stay up to date with the latest research and developments in radiomics, medical imaging, and artificial intelligence
- Maintain the cluster, computational, and storage resources in the Felix lab, which are used for training and deploying AI models
Other
- Master's 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/graduation equivalent
- Full Time employee
- FLSA Status: Exempt
