Internship Clinical Data Science with focus on Bayesian Statistics

Key Skills

Analytical and Problem solving, Bayesian networks, Python Programming, PyTorch, R Programming, SQL, Tableau

Job Description

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!

As the world leader in the production of innovative medicines, we at Boehringer Ingelheim offer you the opportunity to support the development and application of innovative Bayesian statistical methods, assisting the work of a clinical data scientiest. You will learn about support related activities, such as the planning of statistical analyses, statistical programming and interpretation of analyses.

You will gain an insight into the following topics and areas of activities:

• We show you how to 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.
• Together with your mentor, you will apply statistical techniques to analyze and interpret clinical trial data, providing insights and recommendations for decision-making.
• You will learn to develop and implement data transformation methods to optimize data quality and usability.
• We show you how to develop and maintain programming codes and scripts to automate data processing and analysis tasks.
• You can 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, in particular Bayesian statistics 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, Stan or JAGS.
• 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)

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.