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What we expect from you

You hold a scientific, mathematical/(bio-)informatics, engineering or content-related higher educational degree (e.g. with a focus on data analysis, statistics,
artificial intelligence (AI) or modelling) and are familiar with common script and high-level programming languages such as R, Phython, Shell and C/C ++ in
the Linux environment.

You enjoy analyzing data and developing mathematical models for the underlying processes. In addition to a high affinity to mathematical and programming
issues, you have a strong interest in research in the life sciences, have a high degree of initiative and show strong team and communication skills. Good
English spoken and written skills are a matter of course for you.

What you can expect from us

We offer you an exciting and innovative research topic at the interface between biotechnology, medicine and mathematics/computer science. 
You find out which culture conditions are optimal for our cell and tissue cultures and which drugs work best in which patients. 
You use up-to-date information technologies, expand your knowledge of data analysis and develop your own data mining or modelling

Our area of activity offers you the following possibilities:

- Analysis of biomolecular, functional and clinical data (multiomics, high throughput/high content, treatment response, survival)
- Data integration and identification of biomarkers for individually customized optimal therapies
- Methodic implementation using statistics, machine learning, chemoinformatics, modelling, effective result analysis
- Development of processing pipelines and installation of a screening database
- Cooperation with internal and external partners, publication of your results

You can use the Fraunhofer Life Science infrastructure and become part of a dynamic team in an innovative scientific environment (pharmaceutical companies, biotech,
diagnostics, clinics, academic partners). You significantly shape our application-oriented technological solutions and further expand the screening and data analysis
capacities at the Fraunhofer ITEM. Our location at the UNESCO World Heritage Regensburg offers you many leisure time options and an attractive environment.

The remuneration is 65% of an EG 13 TVöD.
The position is initially limited to 3 years and linked to the preparation of a doctoral Thesis.
A longer-term employment is aimed at.
The weekly working time is 39 hours.
People with disabilities are given preference if equally qualified.
Please note that the chosen occupational title also includes the third gender. The Fraunhofer Society attaches importance to gender-independent professional equality.

We are looking forward for your online application under the following link:

Questions about this position will readily be answered by:
Dr. rer. nat. Martin Hoffmann
Tel: +49 941 298480-28 Job Reference: ITEM-2019-50 Closing Date: 15.10.2019

We are looking forward for your online application under the following link: