Senior Radiomics & AI Engineer - Medical Imaging

The Johns Hopkins University; Baltimore (MD); On-site; USD 104,000 - 182,000; Full time

Job summary

The Johns Hopkins University in Baltimore seeks a Sr. Radiomics and AI Engineer to develop and deploy machine learning and deep learning solutions for medical image analysis within the Radiology Diagnostics Imaging division.

You will design data pipelines, collaborate with radiologists and oncologists, and build software tools for data analysis, visualization, and reporting. The role blends research with production-ready software in a clinical setting.

Qualifications

• Master's degree in CS/Biomedical Engineering or related field.
• Two years of experience with ML/DL and data analysis.
• Additional education may substitute for required experience per JHU rules.

Responsibilities

• Develop and implement ML/DL algorithms to analyze medical images.
• Collaborate with radiologists, oncologists and other professionals to identify features.
• Design and implement data preprocessing pipelines for high-quality input data.
• Develop and maintain software tools for data analysis, visualization and reporting.
• Test and validate algorithms and software with clinical datasets and real-world data.
• Monitor and improve the performance of algorithms and software continuously.
• Stay up to date with radiomics, medical imaging and AI research.
• Maintain lab compute resources for training and deploying AI models.

Skills

Machine learning

Deep learning

Data analysis

Education

Master's in Computer Science

Job description

The Johns Hopkins University in Baltimore seeks a Sr. Radiomics and AI Engineer to develop and deploy machine learning and deep learning solutions for medical image analysis within the Radiology Diagnostics Imaging division.

You will design data pipelines, collaborate with radiologists and oncologists, and build software tools for data analysis, visualization, and reporting. The role blends research with production-ready software in a clinical setting.