We seek a talented and highly motivated Data Analyst
for the Functional Bioinformatics ( FBI) team led by Dr.Michael Sammeth. The FBI investigates functional aspects of expressed genes, as by their mutual interaction and regulation, to advance in the understanding how the information encoded in a single genome can give rise to a plethora of different cell types that together form an organism To achieve these ambitious goals, we employ results of high-throughput sequencing experiments applied to the transcriptome (RNA-Seq) and from Chip-Seq assays, most of them carried out at the CNAG (http://www.cnag.cat
With currently twelve state of the art Illumina HiSeq sequencing machines, the CNAG centre is becoming one of the major high-throughput Sequencing and Analysis Centers in Europe. The CNAG is participating in several consortia of networked projects such as the International Cancer Genome Consortium, and EU-funded projects such as READNA, ESGI, GEUVADIS and BLUEPRINT.
The successful candidate will be responsible for analyzing sequencing data from such projects or from other collaborations in order to advance in our understanding about functionality of genomic as transcribed elements. To this end, the candidate will primarily apply established pipelines to datasets (RNA-Seq and Chip-Seq). Furthermore, depending on candidates profile and availability the FBI offers the possibility to participate in the implementation of computational approaches of the group, e.g. the Flux Capacitor/Simulator, and Astalavista.
We are looking either for a post-doctorate research fellow or a technician with a PhD/Master's Degree in Biology, Bioinformatics, or related fields.
The CNAG operates a powerful computational cluster (currently >100 nodes, each 8 cores) based on a Unix platform; therefore, a profound knowledge of common Unix commands is an essential prerequirement for the candidate to be eligible. At the same time candidates are expected to possess a background that provided them with a general knowledge about the biological concepts of gene expression.
The successful candidate will employ statistical frameworks (e.g., the R platform) and scripting (e.g., bash, awk, perl, python, or similar) to pursue comparisons of experimental data. The FBI already developed pipelines for the low-level data processing, and we support candidates who are interested in extending and improving these computational tools implemented in Java and Groovy.
In addition to these technical skills, we especially encourage candidates with preliminary experiences in genomics, transcriptomics, or the analysis of highthroughput sequencing data to apply.
The position is aimed to be filled by the 3rd quartal 2012 for the duration of 2 years.
Salary is offered according to academical degree and experience of the candidate.