BACKGROUND

We are a young group focussing on the challenge of extracting structured insight from high-throughput experiments (microarrays, proteomics, …), taking a probabilistic approach. Our biological interests are varied, and include clinical applications as well as basic research, such as the investigation of non-genetic sources of individuality in fruitflies. While travel is not necessary, we have active collaborations with Cambridge, UK, and the U.S., and encourage exchange with our partners.

RESPONSIBILITIES

We are looking for a skilled and enthusiastic scientist to join our team in the development of inte­grated approaches for the analysis of heterogeneous data. A particular goal is a principled combi­nation of knowledge from sequence analysis, heterogeneous databases, and in-house quantitative experimental results (e.g., metabolite profiles or gene expression data from microarrays).

REQUIREMENTS

Successful candidates are expected to hold a PhD degree in a technical or scientific field and must have experience in at least one of these three areas:

1. Classical or probabilistic analysis of DNA or protein sequences, e.g., applied to predictions of cellular function or location, homology detection, determination of domain structure, the identification atypical sequence regions, promoter prediction, or thermodynamic studies of hybridization. An understanding of sequence analysis applications will assist in the interpretation and deep analysis of integrated data sets.

2. Integration of bioinformatics databases and analysis tools. We internally make use of Ensembl and FlyMine and so familiarity with such systems or at least other experience in the combination of data and analysis results from heterogeneous sources is an advantage.

3. Analysis / interpretation of microarray data. We employ modern statistical/probabilistic methods for the analysis of array data. An understanding of issues involved and, in particu­lar, experience in the interpretation of results using bioinformatics resources will be helpful.

The new group member will be responsible for the development of novel integrated approaches for deep bioinformatics analysis of heterogeneous data sets, adapting and extending existing systems as well as developing novel components as needed. Solid skills and experience in software development under Unix (e.g., R, C/C++, Java, Perl, Bash, …) are therefore required. An interest in collaborating with researchers from other domains in the group and excellent communication skills in English are essential (working knowledge of German a plus).. While a work permit is not required, candidates need to be eligible for a residency permit in Austria (automatic for EU members).

LOCALE

Vienna, Austria, is a thriving international city with a vibrant scientific environment and excellent quality of life.

COMPENSATION

The position is available immediately and has an initial tenure of three years. Salaries are according to the national FWF standard scale for post-doctoral researchers.

HOW TO APPLY

We look forward to receiving your application by 1 December 2006. Late applications may be considered until the position has been filled. Applications should be addressed to Dr David Kreil. Please include a cover letter, a curriculum vitae, a list of publications, and the names of three referees, who should be asked to send references to us directly. Please feel free to contact us if you have any questions. See http://bioinf.boku.ac.at for more information and contact details.

Boku University Vienna
Department of Biotechnology
WWTF Chair of Bioinformatics
http://bioinf.boku.ac.at