About this role
The Research Intern will support the curation of medical imaging and associated clinical report data and help develop AI-powered analysis pipelines using machine learning and data science principles. The position is aimed at exploratory analysis, dataset quality assurance, and contributing results toward a scientific abstract for conference submission by the end of the internship.
Required Skills
- Data Cleaning
- Data Curation
- Python
- Pandas
- NumPy
- Scikit-Learn
- PyTorch
- SQL
- Data Visualization
- Machine Learning
+5 more
Qualifications
- Currently Enrolled In Degree-Granting Program In Computer Science, Biomedical Engineering, Data Science, Statistics, Or Related Technical Field
About HOPPR
hoppr.aiHOPPR is a secure MLOps platform that accelerates the development, validation, and deployment of AI models for medical imaging. It offers dataset and model management with built‑in traceability, auditability, and governance designed to meet healthcare’s regulatory and clinical rigor. The platform helps researchers, hospitals, and medtech teams iterate on models, maintain provenance, and deploy into clinical workflows. HOPPR emphasizes security and compliance to build trust in clinical AI deployments.