QI/Data Project Internship

Role Description

This internship will be remote work with the Quality Improvement (QI) and Real-World Evidence team at T1D Exchange. It will engage with real-world data platforms and leverage clinical datasets, using implementation science approaches to support population health research. This is an excellent opportunity for a student to work closely in the healthcare space while collaborating with a dynamic, highly interdisciplinary team. The intern will develop skills in quantitative and predictive data analysis using big data to advance diabetes care.

What you'll do

• Assist in developing statistical analysis plans for manuscripts and abstracts
• Conduct predictive analytics and develop machine learning models to generate insights from electronic medical records from our QI database
• Identify and propose new areas of study aligned with the organization’s mission, informed trends in the type 1 diabetes community and internal data
• Assist in the preparation of a manuscript or abstracts for presentation at scientific conferences

Qualifications

• Currently enrolled in a bachelor’s or master’s program in Engineering, Computer science, Mathematics, or related field.
• Practical knowledge in predictive analytics including conducting linear and logistic regressions
• Experience coding in systems like R or Python
• Experience with data management and relational databases
• Ability to clearly present data summaries using visual formats (graphs, figures, and tables)
• Strong written and verbal communication skills