The JAK-STAT consortium is seeking to recruit a talented and highly motivated computational scientist to engage in basic and translational biomedical research in the Vienna Life Science region. The successful applicant will work with interdisciplinary teams, engaging in research on the translation of complex NGS data derived from genetically modified mouse models, clinical patient samples and public data bases into biological insights that can guide our understanding of JAK-STAT activity in tissue homeostasis and at the interfaces of infection, inflammation, metabolism and carcinogenesis. The ability to collaborate with a diverse group of scientists and to publish scientific/methodological papers on a regular basis is important.

Requirements

• Ability to lead the bioinformatics work in an interdisciplinary team.
• Postdoctoral training or exceptional PhD experience in bioinformatics, biostatistics, computational biology, or a similar field. Alternatively, PhD in molecular biology, immunology, etc. combined with a very strong record of high-throughput data analysis, evidenced by publication in the area.
• Excellent communication and data presentation skills, including the ability to present complex scientific results to a diverse audience.
• Intense curiosity about the biology of disease and eagerness to contribute to scientific efforts focused to understand the molecular mechanisms of the hallmarks of health and the onset or resolution of disease.
• Deep understanding of computational techniques for analysing high-throughput genomic and transcriptomic datasets and an interest in applying novel approaches to integrating and mining the data (bulk and single-cell RNA-seq, ATAC-Seq, ChIP-Seq, WGBS etc).
• Demonstrated competence in a programming language such as R or python, experience with version control systems, and familiarity with high-performance computing environments. What to expect
• A 4 year-period of employment, with the possibility for extension. druggable targets in comparative medicine.
• Access to JAK-STAT related data sets and samples.
• Access to state-of-the-art technologies and pioneering research.
• Participation in seminar series featuring academic and industry scientists. • Campus-like lifestyle with a healthy work-life balance.
• Mentored opportunities to further develop professional skills.