Internship Statistical Methods and Applications in Drug Development(m/w/x)

# Internship Statistical Methods and Applications in Drug Development ## The position Are you looking for an exciting challenge during your studies in an internationally successful company that has been awarded as one of the “Global Top Employers” several times? Do you want to apply, deepen, and expand your acquired knowledge in practice? **As the world leader in the production of innovative medicines, we at Boehringer Ingelheim offer you the opportunity to get to know the Statistical Methods and Applications in Drug Development. You accompany us at the daily work as a biostatistician and you will support in the specification, execution or review of analyses.** This position can be filled in Ingelheim or Biberach. ## You will gain an insight into the following topics and tasks Within your internship you will have the opportunity to work on novel methods for clinical and non-clinical trial designs and analyses. Tasks can include: * Literature review to understand the current state of statistical methods * Developing and/or adapting existing methods for use in trials including theoretical work as well as implementing and testing of these methods * Simulating data sets to evaluate the performance of new methods * Applying new methods to real data sets and interpreting the results * Developing R code, packages and/or shiny apps to support the use and uptake of methods Within our group, we specialize in various aspects of statistical methods and their applications including: * Real World Data and Real World Evidence * Non-Clinical Research & Development Safety analyses * Randomization procedures * Biomarker analyses * Pharmacokinetic analyses * Trial design including dose finding, adaptive designs, multiple testing, Bayesian statistics * Statistical methods for assessment of analytical methods and manufacturing processes ## Your Profile * Student in at least the 4th semester of Mathematics, Statistics, Data Science or related fields * Very good knowledge of theoretical statistics and practical experience in using the statistical software R * Excellent analytical skills and solution-oriented working style as well as high willingness to learn * Reliability, intrinsic motivation, commitment, and a strong team player * Excellent command of English language in written and spoken form ## What we can offer you * As a student intern, you can expect a **fair expense allowance** (payment of the currently valid minimum wage) * You will be given **2.5 days of paid time off for every full month** of the internship * A full-time internship is **37.5 hours a week** (a smaller number of hours can be arranged) * During your final thesis you will receive an allowance of **900€ per month** The duration of the internship is **4 to 6 months**. The start of the internship can be made several times a year. Upon request, it is also possible to write a thesis on various topics.