The J&J Innovative Medicine Hematology team is looking to generate data-driven insights to guide Medical Affairs strategy and initiatives. 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 and support decision-making processes.
Students should have an interest in healthcare along with strong analytical skills. Discipline should include data science/analytics, computer science, statistics, epidemiology, engineering or similar.
- Fall mentor time: Monday: 11:30 AM Eastern
- Fall lab time: Friday: 11:30 AM Eastern
- Industry: Pharmaceuticals
- Tools: databricks, git, github, python, r, tableau, sql, dataiku
- Topics: data wrangling, pharmacy, visualizations, statistical modeling, hematology, oncology, ehr
- Requirements: Open to all students