Sr. Radiomics and AI Engineer (Radiology)

Sr. Radiomics and AI Engineer (Radiology)

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Specific Duties & 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 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.

Minimum Qualifications

• 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, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• Proficiency in programming languages such as Python, C++, and MATLAB.
• Familiarity with software development best practices, including version control, testing, and documentation.
• Experience in healthcare or medical research.
• Experience working in a multidisciplinary team environment.

Job Details

• Classified Title: Sr. Radiomics & AI Research Engineer
• Job Posting Title (Working Title): Sr. Radiomics and AI Engineer (Radiology)
• Role/Level/Range: ACRP/04/MH
• Starting Salary Range: $101,500 - $177,800 Annually ($127,500 targeted; Commensurate w/exp.)
• Employee group: Full Time
• Schedule: M-F 8:30-5
• FLSA Status: Exempt
• Location: School of Medicine Campus
• Department name: SOM Rad Diagnostic Imaging
• Personnel area: School of Medicine