PHD STUDENT IN COMPUTATIONAL RNA BIOLOGY Job in Leipzig , Germany

PHD STUDENT IN COMPUTATIONAL RNA BIOLOGY Job Description

CALLING ALL FUTURE EXPERTS IN COMPUTATIONAL RNA BIOLOGY!
AT FRAUNHOFER MAKE THE MOST OF YOUR TALENTS BY JOINING OUR RIBOLUTION-TEAM. A POST IS IMMEDIATELY AVAILABLE FOR:

PHD STUDENT
IN COMPUTATIONAL RNA BIOLOGY

The Fraunhofer IZI is coordinating the project “RIBOLUTION – integrated platform for the identification and validation of innovative RNA-based biomarkers for personalised medicine” which is a research alliance supported by the Fraunhofer Future Foundation. We aim at the identification and validation of biomarkers on the basis of the non-protein coding part of the human genome. The project focuses on diagnostic and prognostic questions of utmost relevance for patients and health economy.

We are searching for an outstanding and highly motivated PhD student to join us to take advantage of transcriptome-wide expression data from patient samples in order to achieve new insights into the regulatory mechanisms of a large class of novel transcripts. These so called long non-protein coding RNAs (lncRNAs) show a high potential for complex cis- and transregulation in the human genome. However, gene regulatory mechanisms based on lncRNAs are still barely studied and understood. We, and others, found many lncRNAs to be highly specifically expressed in different tissues and disease associated pathways, proposing that lncRNAs are functional in the context of diseases.
What we expect from you
Our group uses RNA bioinformatics and systems biological approaches in close cooperation with molecular biologists to study how long non-coding RNAs contribute to the emergence and progression of disease. The successful candidate will employ dense in-house genome data to model the regulatory mechanisms of lncRNAs in the context of disease and to formulate hypotheses, which will be experimentally tested by our collaborators. This task will also comprise the development of novel algorithms for the analysis of genomic and transcriptomic data.

PHD STUDENT IN COMPUTATIONAL RNA BIOLOGY Job Requirements

Furthermore, we expect:

• A strong background in bioinformatics and computational biology and a Master degree in computer science, mathematics, biology, chemistry or physics.
• Advanced experience with the processing and statistical analysis of genome-wide datasets, and in at least one of the programming languages Python, C, or C++.
• A sound background in statistical learning, and in the R statistical framework as well as Unix/Linux operating systems.
• A core understanding of genetics and molecular biology.
• Excellent communication and inter-personal skills and be capable of working with an interdisciplinary team.
• Excellent written and verbal skills in English.

PHD STUDENT IN COMPUTATIONAL RNA BIOLOGY Application Information

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PHD STUDENT IN COMPUTATIONAL RNA BIOLOGY Summary

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