Data Analyst / Bioinformatician

Job Location
Lazarettgasse 14, AKH BT 25.3
1090 Vienna
The salary is compliant with the applicable collective agreement including an overpayment depending on the qualifications of the applicant. The definite salary agreement will be made during the personal interview.
Job Description

The Bergthaler laboratory at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences offers an exciting position for a Data Analyst / Bioinformatician. Candidates with a background in computational biology who are ready to take on the challenge of integrating and analyzing systems-level data from complementary global experiments in the context of infectious diseases, inflammation and metabolism will be considered.


The Challenge: The successful applicant will integrate and analyze large data sets derived from different techniques including next-generation sequencing (RNA-seq, ChIP-seq, genomics) and mass-spectrometry (quantitative proteomics, protein-interaction networks, metabolomics). These data are generated in-house and may be complemented by additional data sets from public repositories. On top of such collaborations, the candidate is encouraged to drive her/his own research project and has the opportunity to perform experiments in the wet lab.


The Lab: Our aim is to unravel novel molecular mechanisms of infectious diseases and inflammation. We employ an integrative approach comprising experimentally tractable infection models and state-of-the-art tools of virology, immunology, genetics, pathology, metabolomics and systems biology. A particular emphasis lies on chronic infections, superinfections and the crosstalk of metabolism and inflammation. The principal investigator has received training in premier laboratories at the University of Tokyo, University/ETH Zurich and at the Institute for Systems Biology in Seattle. The current group consists of 8 members from 7 countries, who closely collaborate across projects as a team and have published two recent high impact studies. Scientific and social interactions are promoted by weekly lab meetings, journal clubs, CeMMinars with internationally renowned guest speakers as well as by annual lab retreats. Lab websites:,

References: Bhattacharya*, Hegazy* et al. Immunity 2015, Johnson*, Bergthaler* et al. Journal of Immunology 2015, Schliehe C. et al. Nature Immunology 2014, Litvak V. et al. Nature 2012.



The Candidate: You should have a background in Computational Biology (Bachelor, Master or PhD degree), and a track record of successful data integration, global data analyses and the application of biomathematical and statistical methods.  Expertise in data visualization is of advantage. Your publication record demonstrates your successful collaboration with biologists and highlights your expertise in programs such as R, Python, Matlab and/or systems biology tools such as Cytoscape. You bring to the job a creative mindset and the ability to think outside the box. Interdisciplinary and network thinking and strong communication skills as well as the ability to work independently and in a team would round off your profile. You are a self-motivated individual who is prepared to tackle the complexity of immunology and to make a difference within our quest on fundamental questions of infectious diseases.

About Our Organization

The Institute:  CeMM is a flagship institute for biomedical research in the heart of Europe, Vienna. Our work is focused on unraveling the molecular basis of diseases in infections, inflammation and cancer. We are committed to highest scientific standards and provide a dynamic, interactive and international environment. Working language is English. CeMM has been repeatedly ranked by The Scientist as one of the Best Places to Work Academia worldwide (link: The institute is situated within the medical campus of Vienna, which facilitates collaborations between basic scientists and clinicians. CeMM operates cutting-edge technology platforms and hosts two bioinformatics groups, offering an intellectually challenging and interdisciplinary environment for computational biologists.

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