Internship & Master Thesis - Mathematical Modelling of Cell Culture Processes 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 / Master thesis you will receive comprehensive insight into different areas of pharmaceutical bioprocess development.
Moreover, you are able to proactively engage in applied and interdisciplinary development topics which are of practical relevance.
You will build on the modelling skills you have acquired during your university studies, in order to develop innovative models that mimic different aspects of a mammalian cell culture process mathematically.
You will subsequently apply these computational models in simulation studies with the aim to diagnose problems, provide in depth process understanding, and to improve overall process operation.

Requirements

Student in biochemical engineering, biotechnology, bioinformatics, (bio-)statistics, mathematics or related academic field with basic knowledge in fundamentals of biopharmaceutical industry
Hands-on experience in modelling and simulation of bioprocesses (e. g. mechanistic models, biochemical network models, metabolic flux analysis, machine learning and statistical methods)
Profound programming skills, e. g. in Matlab or Python
Dedicated, creative and team-oriented working manner, as well as a high willingness to learn
Fluency in spoken and written English, German is a plus