Internship Statistical Methods and Applications in Drug Development
Boehringer Ingelheim GmbH
Auf einen Blick
- Tätigkeit: Unterstützung bei der Entwicklung und Anwendung statistischer Methoden in der Arzneimittelentwicklung.
- Arbeitgeber: Boehringer Ingelheim, ein global anerkannter Top-Arbeitgeber in der Pharmaindustrie.
- Benefits: Bezahlter Urlaub, flexible Arbeitszeiten, Möglichkeit zur Anfertigung einer Abschlussarbeit.
- Wieso dieser Job: Spannende Herausforderung, praktische Anwendung von Wissen, Arbeit in einem führenden Unternehmen.
- Qualifikationen: Studium ab dem 4. Semester in Mathematik, Statistik oder verwandten Feldern, sehr gute Kenntnisse in R.
- Was du noch wissen solltest: Bewerbung mit Lebenslauf, Anschreiben und Notenübersicht erforderlich.
Das voraussichtliche Gehalt liegt zwischen 500 - 1500 € pro Monat.
Job Information
Boehringer Ingelheim Internship Statistical Methods and Applications in Drug Development in Ingelheim, Germany
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?
Apply now for an internship at Boehringer Ingelheim!
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.
Please note that your application can only be considered with a CV, a cover letter and a transcript of records from your current studies. Unfortunately, we cannot process incomplete applications.
Tasks & responsibilities
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 afair 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 is37.5 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. Please enter the desired period in your application.
Upon request, it is also possible to write a thesis on various topics. We kindly ask you to submit your application at the earliest 7 months before your desired start of the internship.
Ready to contact us?
Please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330.
All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.
Apply Now
Fähigkeiten der besten Bewerber
- Statistische Analyse
- R
- Datenmodellierung
Internship Statistical Methods and Applications in Drug Development Arbeitgeber: Boehringer Ingelheim GmbH
Boehringer Ingelheim ist als 'Global Top Employer' mehrfach ausgezeichnet und bietet eine dynamische Arbeitsumgebung in der pharmazeutischen Industrie. Das Unternehmen fördert die berufliche Entwicklung durch praktische Erfahrungen und die Möglichkeit, an innovativen Projekten zu arbeiten.