DESCRIPTION

The "Genomics of Long Non-Coding RNAs in Disease" Laboratory (GOLD Lab) at the University of Bern has an opportunity for a Bioinformatics Postdoc.

The Project: Understanding how long noncoding RNA (lncRNA) functions are encoded in their sequence is a great challenge in biology. Our goal is to discover, classify and characterise lncRNA functional elements by means of an integrative bioinformatic / experimental approach. You will lead the bioinformatic component to develop novel methods for identifying lncRNA elements and predicting their functions. In collaboration our experimental team, you will have ample opportunities for experimental validation of in silico-generated hypotheses.

The Group: We are an international and interdisciplinary group of researchers with a passion for lncRNA research. We foster an open and collaborative working environment. Our work is funded by the Swiss National Center for Competence in Research (NCCR) "RNA & Disease" (nccr-rna-and-disease.ch), and we participate in the GENCODE project and International Cancer Genome Consortium (ICGC). We also have excellent biomedical links at the University Hospital of Bern. For more information about us: http://gold-lab.org / http://twitter.com/goldlab_bern

The City: Bern, the capital of Switzerland, has a vibrant international community, numerous outdoors and cultural activities, and ranks among the best cities worldwide for quality of life (https://tinyurl.com/y9vrtb7d).

The Person: We seek a dedicated and dynamic colleague to integrate into our diverse team. You should have strong background in bioinformatics or computer science, and specifically some/all of: Unix environment, R, Perl/Python, analysis of NGS data, webservers/databases. Experience in lncRNAs, CRISPR-Cas9 is a plus.

Details: Ideal start date will be Q1 of 2019. Project is fully funded for 4 years. Salary is according to (generous) University of Bern scales.

Recent Publications:
Carlevaro-Fita et al. Biorxiv https://www.biorxiv.org/content/early/2017/10/23/189753
Uszczynska-Ratajczak B et al. Nat Rev Genet. 2018 Sep;19(9):535-548. http://www.doi.org/10.1038/s41576-018-0017-y.
Lagarde J et al. Nat Genet. 2017 Dec;49(12):1731-1740. http://www.doi.org/10.1038/ng.3988.

DESCRIPTION

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