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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? Would you like to join a pharmaceutical company, where your skills, competencies and creativity can open doors for your development and professional growth?
Apply now for an internship within our team Clinical Data Science!
We are looking for talented and innovative students to join our Corporate Department global Biostatistics and Data Science.
As the world leader in the production of innovative medicines, we at Boehringer Ingelheim offer you a unique experience in one of the pharmaceutical industry's top 20 companies and the opportunity to get to know the many tasks of a clinical data scientist. Within the internship, you will get to know the daily work of a clinical data scientist and support related activities, such as the planning of statistical analyses, dataset and analysis programming and interpretation of analyses.
Tasks and Responsibilities:
Conduct research and literature reviews to stay updated on the latest techniques and methodologies in clinical design, statistical programming, and data analysis.
You will assist in the development and implementation of innovative statistical approaches to enhance data analysis in clinical development.
You will apply statistical techniques to analyze and interpret clinical trial data, providing insights and recommendations for decision-making.
You develop and implement data transformation methods to optimize data quality and usability.
You develop and maintain programming codes and scripts to automate data processing and analysis tasks.
You collaborate with cross-functional teams to analyze and interpret clinical trial data.
During your internship, you will have the chance to explore innovative techniques for clinical designs, data transformation, statistical programming, and data analysis.
Your Profile:
Student in at least the 4th semester of Statistics, Mathematics, Data Science or related fields
Good knowledge of statistical methodology and basic knowledge of design of clinical trials, medical terminology, and processing clinical trial information
First hands-on experience in relevant software languages, like R and SAS
Excellent analytical skills and solution-oriented working style as well as high willingness to learn
Reliability, intrinsic motivation, commitment, and a strong team player
Fluency in written and spoken English
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)
In our team we also offer you a hybrid working model in which you can work remotely several days a week!
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.
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.
This position can be filled in Ingelheim or Biberach.
Ready to contact us?
Please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330.
Discover our Biberach site: xplorebiberach.com (https://careers.boehringer-ingelheim.com/biberach/)
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.