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Position: Postdoctoral Researcher - Bioinformatician/Data Analyst
Department: Biozentrum - Center for Molecular Life Sciences
, Basel Switzerland
Duties: We study how gene expression is regulated in mammalian cells, how it is perturbed in diseases and what key factors are responsible for dysregulation. Work closely with other members of the group to help analyze and integrate high-throughput data sets, supporting ongoing projects in the group as well as our collaborative projects
Requirements: You hold a PhD in bioinformatics, computational biology or related field, and you have strong experience in analyzing sequence data (transcriptomes, proteomes, binding data for RNA-binding proteins or transcription factors)
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It consists of 30 groups and 500 employees that research how molecules and cells create life, spanning the scale from atom to organism. Founded in 1971, the Biozentrum has been the birth place of many fundamental discoveries in biology and medicine, spawning several Nobel Laureates. In short: A bioinformatics data analyst position is available in the group of Mihaela Zavolan , at the Biozentrum, University of Basel. The group combines high-throughput experimental with computational approaches to study many aspects of RNA processing in the context of processes such as organism aging and cancer development. We are looking for a talented bioinformatician with extensive experience in transcriptome and proteome data analysis to help us integrate data sets generated in our lab or through collaborative projects. Who we are: Our group is part of the Computational and Systems Biology research area of the Biozentrum of the University of Basel. Group members cover the entire spectrum of biomedical research expertise, from molecular biology to computational tool development, data analysis and software engineering. We recently relocated in a new building in a large and very active life science research park that includes multiple research institutes. What we do: We study how gene expression is regulated in mammalian cells, how it is perturbed in diseases and what key factors are responsible for dysregulation. Who you are: You hold a PhD in bioinformatics, computational biology or related field, and you have strong experience in analyzing sequence data (transcriptomes, proteomes, binding data for RNA-binding proteins or transcription factors). What you would do: Work closely with other members of the group to help analyze and integrate high-throughput data sets, supporting ongoing projects in the group as well as our collaborative projects. Time frame: The position is for one year with possible extension. It is available immediately. The call is open until the position is filled. We offer: We are a highly interdisciplinary, international and supportive team of scientists, where you will have the opportunity to broaden your horizons, develop new ideas, and engage other team members in implementing and testing your ideas in experimental systems. At the Biozentrum we have access to state-of-the-art facilities for systems-level interrogation of biological systems and a computational infrastructure to match the demands of big data science. We are also part of the Swiss Institute of Bioinformatics and of the NCCR network “RNA and Disease”. Basel is an international city with people from 150 nations. Located on the border where Switzerland, Germany, and France meet, Basel is home for a large number of institutions for biomedical research, with numerous possibilities for training, networking and career development. The city provides a high standard of living and a rich and varied cultural atmosphere. Application / Contact Please submit your application letter, a statement of research interests, CV, and the contact information of at least two references before August 15, 2021 to: Prof. Mihaela Zavolan Biozentrum Universität Basel SIB - Swiss Institute of Bioinformatics Spitalstrasse 41 4056 Basel Switzerland email: mihaela.zavolan(at)unibas to make life hard for spam bots .ch Check out a few of our recent publications Herrmann, Christina J; Schmidt, Ralf; Kanitz, Alexander; Artimo, Panu; Gruber, Andreas J; Zavolan, Mihaela. PolyASite 2.0: a consolidated atlas of polyadenylation sites from 3ʹ end sequencing. Nucleic acids research 48(D1), D174-D179 (2020) Guimaraes, Joao C; Mittal, Nitish; Gnann, Alexandra; Jedlinski, Dominik; Riba, Andrea; Buczak, Katarzyna; Schmidt, Alexander; Zavolan, Mihaela. A rare codon-based translational program of cell proliferation. Genome biology 21(1), 1-20 (2020) Börsch, Anastasiya; Ham, Daniel J; Mittal, Nitish; Tintignac, Lionel A; Migliavacca, Eugenia; Feige, Jérôme N; Rüegg, Markus A; Zavolan, Mihaela. Molecular and phenotypic analysis of rodent models reveals conserved and species-specific modulators of human sarcopenia. Communications biology 4(1), 1-15 (2021) Hafner, Markus; Katsantoni, Maria; Köster, Tino; Marks, James; Mukherjee, Joyita; Staiger, Dorothee; Ule, Jernej; Zavolan, Mihaela. CLIP and complementary methods. Nature Reviews Methods Primers 1(1), 1-23 (2021) Breda, Jérémie; Zavolan, Mihaela; van Nimwegen, Erik. Bayesian inference of gene expression states from single-cell RNA-seq data. Nature Biotechnology (2021) Burri, Dominik; Zavolan, Mihaela. Shortening of 3'UTRs in most cell types composing tumor tissues implicates alternative polyadenylation in protein metabolism. bioRxiv (2021) Information for Bachelor Students Master Students PhD Students Employees Alumni Donors Media Impressum Disclaimer Follow us LinkedIn Twitter Instagram Youtube Go to Open Positions People Contact Directions Search © Universität Basel / Biozentrum
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