PhD student (m/f/d) in bioinformatics (TVöD E13, 100%)

22.07.2021, Wissenschaftliches Personal

Department of Bioinformatics at the TUM School of Life Sciences in Freising is seeking a PhD student. The position is sponsored by Medigene AG. The candidate will develop computational tools and analyze NGS, proteomics, and transcriptomics data to support the development of innovative immunotherapies in close collaboration with the Immunology, Translational Medicine, and Mass Spectrometry groups at Medigene.

Your qualifications:

- A master degree in computational biology, bioinformatics, systems biology, computer science, or biology
- Good knowledge of bioinformatics and biology
- Familiarity with next-generation sequencing data analysis
- Familiarity with machine learning and statistics
- Strong programming skills (Java, python, R)
- Comfortable with the Linux/Unix environment, databases (MySQL)

Our offer:

Salary is in accordance with the German public service salary scale: TVöD E13 100% for 48 months. The position is available from September 1, 2021.

Your application:

Please send your CV and supporting documentation as one PDF file by e-mail to Prof. Dmitrij Frishman ([email protected])

Further information: http://frishman.wzw.tum.de
As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application you confirm to have read and understood the data protection information provided by TUM.
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Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Prof. Dr. Dimitrij Frishman: [email protected]