Graduate Level Co-op – Medical Imaging Data Scientist – Plymouth, MN – January 2027

Join our high-performing Software Engineering team within the Image Guided Therapy Devices (IGT-D) Software R&D group. As a Data Scientist co-op, you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software. This is a great way to spend your spring/summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.

• Work closely with a member of the Software and AI/ML Engineering team to work on a focused project that can be completed during the co-op.
• Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets.
• Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.
• Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation.
• Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics.
• Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.
• Complete required training necessary to comply with regulatory requirements and quality management system standards.
• Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.

• Pursuing a

in computer science, computer engineering, or a related field.

• Experience working with deep learning frameworks like PyTorch, TensorFlow etc. and CNNs like UNet, ResUNet etc.
• Strong understanding of medical imaging standards and formats (e.g., DICOM, NIfTI) and familiarity with data management tools specific to imaging (e.g., PACS, cloud-based storage for imaging data).
• Experience in managing medical imaging databases and understanding of how imaging data is used in AI/ML model development.
• Good problem solving and debugging skills.
• Team player with good communication, technical writing and presentation skills.
• Willing and capable of working on-site in the office at our Plymouth, MN site.
• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .

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