Hands-on data processing and analysis of clinical data (e.g., trial data, biomarkers, gene expression data)
Support in Data Science projects as well as non-clinical / clinical development in all study phases, e.g., programming of tables and figures, sample size calculation, high-dimensional data analysis
Data visualization and output generation
Statistical programming and development of reusable programs (e.g., functions, macros, R packages)
Your profile
Studies in statistics, mathematics, data science, or a similar direction
Knowledge on basic and advanced statistical methods, e.g., hypothesis testing, multivariate analysis
Advanced programming skills in R, knowledge in R Shiny Applications optional