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

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