Graduate Level Co-op – Data Scientist – Plymouth, MN – January 2027
Core
Support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications.
Role type
Graduate co-op data scientist (medical imaging)
Builds
Data-driven and machine-learning-enabled workflows for clinical imaging software
Domain
HealthTech / Medical Imaging / Regulated Medical Device Software
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, TensorFlow), CNNs (UNet, ResUNet), medical imaging standards (DICOM, NIfTI), data management tools (PACS, cloud storage), medical imaging database management, exploratory data analysis, model training and evaluation
Preferred skills
Master's or PhD in computer science or computer engineering
Technologies
PyTorch, TensorFlow, UNet, ResUNet, DICOM, NIfTI, PACS
Responsibilities
Gather, process, organize, and analyze raw clinical imaging data; perform exploratory data analysis to identify patterns and data quality issues; verify quality and consistency of data sources for AI/ML model development; assist with model training, evaluation, tuning, and performance analysis; document data sources, cleaning processes, and performance metrics; complete required regulatory training; present end-of-summer project results
Seniority
Graduate co-op (MS/PhD student)