Internship / Master Thesis - Bioprocess & Analytical Development / Modelling and Data Analysis in Biberach an der Riß bei BI Pharma GmbH&Co KG

BI Pharma GmbH&Co.KG

The position

Would you like to join a pharmaceutical company, where your skills, competencies and creativity can open doors for your development and professional growth? During your internship you will have the opportunity to get to know a lot about working with process data in our department Bioprocess & Analytical Development, using relevant and innovative analytical methods. If this sparks your interest, we can offer you a unique experience to do your internship in Biberach, in one of the pharmaceutical industry's top 20 companies.

As a student intern, you can expect a fair expense allowance (payment of the currently valid minimum wage) as well as 2.5 paid days off per full month of the internship. A full-time internship is 37.5 hours a week. During your thesis you will receive an expense allowance of €900 per month.

Start date: As soon as possible
Duration: 6 months for the internship followed by 6 months for the master thesis

Tasks & responsibilities

During your internship you will collect, classify and visualize process data.
Pre-processing the data to ensure high quality data for further analysis is another part of your internship.
You will use data analysis and machine learning methods to build models, diagnose problems, and provide in depth understanding of process data to help in informed decision.
In addition, you will also model, simulate and optimize biopharmaceutical processes using mechanistic models and statistical approaches (e. g. multivariate data analysis).

Requirements

Masterstudents in data science, mathematics, statistics and (bio) process engineering with basic knowledge in essential areas of the biopharmaceutical industry
Knowledge of statistics and machine learning models / methods
Hands-on experience with at least one of the popular programming languages such as MATLAB and Python
Dedicated, creative and team-oriented way of working as well as a high willingness to learn
Good knowledge of MS Office
Fluency in spoken and written English