Ph.D. position in computational biology or bioinformatics

Updated: about 1 hour ago

11.11.2020, Wissenschaftliches Personal

To strengthen our team, we are offering a Ph.D. position in computational biology or bioinformatics We are looking for a computational biology/bioinformatics Ph.D. student to process and analyze next-generation sequencing data to understand the functional contributions of the non-coding genome in the cardiovascular system.

About the lab
We bridge computational and experimental strategies to understand the functional contributions of the non-coding genome, such as regulatory DNA elements and long non-coding RNAs (lncRNAs) in the cardiovascular system. We aim to understand the impact of epigenetic changes on heart function and explain why there is a gender bias for cardio-vascular disease. More specifically, we will use mouse models and patient-derived samples to study the impact of epigenetic changes on female X chromosome inactivation and genomic imprinting. Furthermore, we aim to elucidate relevant therapeutic candidates and new non-coding regulatory regions-based disease mechanisms that may form the basis of new therapies.

About the institute
The Institute of Pharmacology and Toxicology (IPT) is part of the Medical Faculty of the Technical University of Munich (TUM), one of the leading universities in the European Union. The institute's research focuses on non-coding RNAs, their control of cardiac gene expression, and the effects of their therapeutic manipulation in cardiac disease. The institute's state-of-the-art research facility includes a fully equipped mouse cardiac phenotyping lab, a viral vector core, and the entire experimental pipeline for next-generation sequencing from tissue or single-cells, including FACS-based cell separation. Furthermore, the IPT coordinates and receives funding from the DFG Collaborative Research Center TRR267 "Non-coding RNA in the Cardiovascular System" and is the Munich partner site of the German Center for Cardiovascular Research (DZHK). The outstanding infrastructure and experience present in the institute provide an ideal environment for a project to succeed.

Your profile
• Preferably, you hold a master’s degree in bioinformatics or computational biology
• Experience from working in a Linux/Unix environment.
• Programming experience in Python and R.
• Hands-on experience from working with Illumina sequencing data.
• Highly motivated scientist and commitment to scientific excellence

We offer
• A 3-year contract with the possibility to prolong (payment according to TV-L (E13 / 65%))
• Access to the Leibniz-Rechenzentrum (LRZ)
• A state-of-the-art facility, with mouse phenotyping, human iPS cell, single-cell sequencing to name a few.
• A highly motivated and international institute with a high PostDoc to student ratio.
• Membership in the TUM Graduate School and benefit from educational programs etc.

Your application
The TUM aims to increase the diversity of its staff substantially. As an equal opportunity and affirmative action em-ployer, the TUM explicitly encourages nominations of and applications from women and all others who would bring additional diversity dimensions to the university's research and teaching strategies.
Please send your complete application documents (cover letter, C.V., certificates) via email to:
Technische Universität München TUM, Institute of Pharmacology and Toxicology
Biedersteiner Strasse 29, 80802 Munich, Germany

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.


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