You will conduct literature reviews and data simulations, applying new statistical methods to real-world data. Your responsibilities include developing code and automating report processing to enhance data accessibility.
Anforderungen
- •Student in at least 4th semester of AI study
- •Very good knowledge of natural language processing
- •Experience with large language models is an added advantage
- •Excellent analytical skills and solution-oriented
- •Reliability, intrinsic motivation, and strong team player
- •Excellent command of English in written and spoken form
Deine Aufgaben
- •Conduct literature reviews on statistical methods.
- •Simulate data sets to assess new methods.
- •Apply new methods to real data sets.
- •Interpret results from data analysis.
- •Develop R or Python code and packages.
- •Create shiny apps to enhance method usage.
- •Automate processing of study reports.
- •Transfer relevant content into machine-readable format.
Deine Vorteile
Fair expense allowance
2.5 days paid time off
Full-time internship hours
Original Beschreibung
# Internship - Methods of AI and their use 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 application of new methods in Drug Development. You accompany us, supporting biostatisticians by applying methods of machine learning and artificial intelligence in real life applications. 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 support the 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
* Simulating data sets to evaluate the performance of new methods
* Applying new methods to real data sets and interpreting the results
* Developing R or Python code, packages and/or shiny apps to support the use and uptake of methods
* The internship will focus on applying methods to automate processing of study reports to transfer the relevant contents in a machine readable format.
## Your Profile
* Student in at least the 4th semester of a study program related to artificial intelligence and/or machine learning.
* Very good knowledge of methods of natural language processing and of software Python and R.
* experience with large language models is an added advantage
* 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)
The duration of the internship is **6 months**. The start of the internship can be made several times a year. Please enter the **desired start date** in your application.