We are searching for a motivated candidate to join our computational biology team at the CeMM Research Center for Molecular Medicine of the Austria Academy of Sciences in Vienna. CeMM is an international and interdisciplinary research institute performing cutting edge science to elucidate the molecular basis of human disease. We use a broad range of computational approaches to mine large datasets derived from in-house post-genomic technologies, such as next-generation sequencing data of genomes, epigenomes and transcriptomes, high-throughput proteomics and chemical screening data. The candidate will be a key member of the newly established computational biology team led by Jörg Menche (www.tinyurl.com/joergmenche).
- Software development. Implementing and curating algorithms and analysis pipelines for data analysis.
- Data management. Developing databases and web applications to store, manipulate and visualize data.
- Scientific Collaborations. Contributing to projects of other researchers with our computational expertise.
- Training and outreach. Empowering life scientists to use computational methods.
We are looking for a highly motivated candidate who is as excited about connecting different scientific disciplines as we are. We expect strong programming skills and a degree (Bachelor, Master and/or PhD) in one of the quantitative sciences, for example computer science, physics, engineering, statistics, or biology/bioinformatics. A good understanding of biology and/or experience with biomedical data is a plus, but can also be learnt on the job. The working language at CeMM is English, and excellent writing and communication skills as well as high interpersonal skills are a must. We take career development of our staff seriously and will train the successful candidate in various state-of-the-art technologies that are in high demand in both academia and industry. We strongly believe in diversity and equal opportunity and would like to explicitly encourage women to engage in this area of science in which the gender bias is particularly evident. Tasks and pay are commensurable with experience and skills and follow the standards of the Austrian Science Fund (see: www.fwf.ac.at/en/research-funding/personnel-costs/).