Urgent! Internship Statistical Methods and Applications in Drug Development Job Opening In Biberach – Now Hiring Boehringer Ingelheim
**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.**
**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.
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.
First interviews with suitable candidates will be held from the beginning of November onwards.
This position will be posted at least until the end of November.
**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.
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Unlock Your Internship Statistical Potential: Insight & Career Growth Guide
Real-time Internship Statistical Jobs Trends in Biberach, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Internship Statistical in Biberach, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1154 jobs in Germany and 3 jobs in Biberach. This comprehensive analysis highlights market share and opportunities for professionals in Internship Statistical roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Boehringer Ingelheim is currently hiring and seeking a Internship Statistical Methods and Applications in Drug Development to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Boehringer Ingelheim adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Internship Statistical Methods and Applications in Drug Development Jobs Germany varies, but the pay scale is rated "Standard" in Biberach. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Internship Statistical Methods and Applications in Drug Development typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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