Your responsibilities will include

• 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
• Strong analytical and quick-learning skills 
• Precise and accurate way of working 
• Team player and a high degree of initiative
• Good ...