Healthcare Innovation (AI) Intern

Assist with research and technical discovery for healthcare AI and machine learning use cases, including summarizing clinical, academic, and industry literature.

* Support exploratory data analysis, data preparation, visualization, and model evaluation using Python, MATLAB, or comparable analytical tools.

* Contribute to supervised prototype development involving machine learning, signal processing, medical imaging, predictive analytics, or workflow automation.

* Help evaluate model performance using defined measures and document findings, assumptions, limitations, and opportunities for improvement.

* Assist with image analysis or segmentation activities using tools such as ImageJ, 3D Slicer, or similar platforms when relevant to an approved project.

* Support analysis of physiologic or time-series data, such as EEG, EMG, heart-rate, or other sensor-based data, when aligned with an approved use case.

* Participate in AI Center of Excellence use-case intake, discovery, and governance activities by preparing research summaries, technical documentation, process maps, and presentation materials.

* Collaborate with clinical, operational, informatics, data, security, compliance, and technology stakeholders to understand problem statements and translate them into well-defined analytical tasks.

* Use approved, appropriately governed data and development environments. Follow all privacy, security, confidentiality, research, and responsible AI requirements.

* Maintain organized project artifacts through version control and team collaboration tools, and communicate progress, risks, and questions to the assigned project lead.

* Prepare a final presentation or demonstration summarizing project objectives, methods, results, lessons learned, and recommended next steps.