Job description
About The Role
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