We would like to work with students who have a topical understanding of the medical industry to generate unique and effective strategies for selling our product.

Medical research relies heavily on Big Data - large volume of training and testing data is required to build an automatic medical diagnostic tool using advanced Machine Learning techniques. However, presence of Protected Health Information (PHI) in medical images constitutes a significant hurdle to sharing and aggregating data. Due to sheer volume of the datasets, manual removal of PHI is not scalable and building a tool for automatic PHI detection, deletion and masking is crucial.

The market is seeing a lot of activity with companies that create big medical data lakes that can be shared with a variety of AI in Medicine startups. We would like to research this particular vertical and identify potential customers for our PHI de-identification solutions.

Students will be responsible for:

• Developing a list of prospects for our product among companies that collect medical data to build repositories for AI in Medicine research
• Reaching out to prospective clients, conducting informational interviews and gauging their interest in becoming beta customer
• Creating presentation materials and technical speaking points to aid our sales team.

The students will work directly with the co-founder and CEO of the company.

The students will have weekly brief team meetings, as well as direct access to the CEO as needed throughout the project.