http://www.embl.de/jobs/searchjobs/index.php?ref=HD_00868
Job description
A postdoctoral research position is available in the group of Wolfgang Huber at EMBL Heidelberg for an energetic and creative researcher in the areas of statistical method development, statistical computing and biological data science. Apply if you are driven by developing mathematical methods and computational solutions for novel technologies and data types, with the aim of integrated understanding of heterogeneous, multi-modal omic data (incl. DNA sequence, epigenome transcriptome, proteome) in drug target discovery and validation.
The position is part of a cooperation with Cellzome, a company located on the campus of EMBL, and offers the opportunity of doing academic, open research in the area of novel drug target discovery and drug development. The job holder will contribute to the Bioconductor project through participation in computational frameworks for multi-omic data analysis.
Context
The European Molecular Biology Laboratory (EMBL) is one of the highest ranked scientific research organisations in the world. The Headquarters Laboratory is located in Heidelberg (Germany), with additional sites in Grenoble (France), Hamburg (Germany), Hinxton (UK) and Monterotondo (Italy).
Cellzome, a GSK company, applies its world-class proteomics technology to the discovery of safe and efficacious drugs. GSK (GlaxoSmithKline) is a science-led global healthcare company that re-searches and develops a broad range of innovative medicines and brands.
Bioconductor is an open source, open development software project to collaboratively develop tools for the analysis and comprehension of high-throughput genomic data.
Qualifications and Experience
The position requires outstanding quantitative and analytical skills. We are looking for candidates with PhD-level education in mathematics, statistics, physics, computer science or related fields, who are looking to make an impact in biomedical research. Curiosity to work in interdisciplinary projects and continuously expand your horizon is expected. Expertise in scientific computing is required, including low-level (e.g. C) and high-level (e.g. R) languages. Experience in large-scale data analysis will be useful. An appropriate record of productivity (evidenced e.g. by academic papers or scientific software) is expected. The position requires the ability to independently take responsibility over your project, strong teamwork and communication skills, reliability, attention to detail and effective time management.
Please contact Wolfgang Huber (http://www.huber.embl.de) for questions.
Application Instructions
Please apply online through
Additional Information
EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation.
Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.
