Interns work on tasks similar to those of R Programming Team members. They design, develop, test, and maintain R programs which support the development of state-of-the-art reports and shiny applications used by biostatisticians and statistical programmers worldwide.
Interns will be mentored by the R Shiny Programming Lead, within the Analytics and Reporting Tools (ART) team, and will contribute to multiple projects aimed at improving the success, efficiency, and quality of our trials from design to statistical reporting, data exploration, and visualization.
It is especially impressive, but not required, when interns suggest ways in which we can improve our programming approaches and best practices. Interns gain broad exposure to what R programmers do at Sanofi and applying R in a production environment. They develop improved programming skills and best practices that they might not have encountered before.
Interns will gain exposure to the following R stack to solve complex challenges: dplyr, rmarkdown, dbplyr, ggplot2, roxygen, and plotly.
· Use data and visualizations to inform business solutions
· Organize data, analysis, reports, and applications into reproducible repositories
· Provide technical documentation
Required Education, Experience, and Skills:
· Enrollment in a graduate degree program in Computer Science or related area
· Candidates should have good analytical skills and be able to work in a team environment
· Experience with the statistical programming language R and the interactive development environment RStudio
· Good written and verbal communication skills