• Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Analytics, Big Data, Data Science, Data Visualization, Hematology/Oncology, Medical Affairs, Predictive Modeling
  • Tools: Databricks, Git, GitHub, Python, R, SQL, Statistics, Tableau
  • Citizenship: Open to all students
Summary

The student will deliver analytic projects using various healthcare datasets intended to inform Medical Affairs strategy for the hematology portfolio. The student will have an opportunity to utilize analytic techniques and build algorithms/models to answer key business questions.

Description

***Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Johnson & Johnson' in the Note section, and select the appropriate CRN.***