The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and the Medical University of Vienna pursue ambitious research projects including large-scale genome/epigenome sequencing of cancer samples, rare disease mapping, and a Personal Genome Project that provides whole genome sequencing to selected volunteers and explores the scientific, educational, ethical, and social implications of genomics. We are now looking for a highly motivated bioinformatic data analyst with experiences in large-scale sequencing analysis to contribute to these efforts.

The Project:

Depending on the candidate’s prior experience and interests, the focus of the work could be in one or more of the following areas:

• Analysis of cancer genome, epigenome, and transcriptome data
• Bioinformatic methods development for single-cell sequencing technologies
• Computational prioritization of causal genes in rare Mendelian diseases
• Contribution to Genom Austria (http://www.personalgenomes.org/austria), which is the Austrian Personal Genome Project

To submit your application for this position, please click on the "APPLY" button.

Please submit cover letter, curriculum vitae, academic transcripts and contact details of three referees. Please indicate the reference code Bioinformatic Data Analyst in the subject line. 

The Candidate:

We invite applications from candidates who are eager to contribute to the genomics revolution in biomedicine. The ideal candidate has an excellent track record in bioinformatics, human genetics, or a related field (typically including a PhD with or without additional postdoctoral experience although outstanding Master-level applications will also be considered). The exact job description, responsibilities, and salary will be commensurable with experience. All candidates should have prior work experience in world-class institutions. Because CeMM works in highly competitive areas at the forefront of biomedical research, intellectual curiosity, diligence, flexibility, and dedication to science are key success factors.

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