Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
We seek a data analyst with a strong computational background to develop, maintain and operate data analysis pipelines at CNAG.
The successful applicant will be closely involved with the RD-Connect project (www.rd-connect.eu), mainly in the roles of data analysis and interpretation but also in other areas such as database design and population.
The analyst will report to the Bioinformatics Analysis Group Leader and must be able to work independently on his/her specific tasks and as part of a team integrating a system.
1.Development, maintenance and operation of data analysis pipelines, mainly for exome and whole genome sequencing studies with a primary focus on rare disorders genetic studies.
2.Data mining and interpretation.
3.Interaction with European partners in the RD-Connect project.
4.Support of CNAG’s projects.
1.A Doctoral or Masters degree in Bioinformatics, Biostatistics or related discipline and/or proven experience in the field.
2.Previous experience in high-throughput genome analysis such as variant calling and annotation or GWAS will be highly valued.
3.Very able with Unix operating systems, including shell scripts.
4.Skilled programmer in Perl and/or Python, and R. Knowledge of Java, C++ or other programming languages will be also valued.
5.Working experience with databases will be an advantage.
6.Good spoken and written English.
Interested candidates may submit a CV and a brief statement of experience and interests before September 15th 2013 indicating the offer reference in the message subject (RD-Connect Data Analyst) to the following email address: firstname.lastname@example.org
The CNAG has a park of thirteen second generation DNA sequencers supported by an extensive informatics infrastructure, and is one of the major Genome Sequencing Centers in Europe.
The CNAG is actively involved in collaborative research projects on a number of specific topics: Disease Gene Identification, Cancer Genomics, Genomics of Infectious Diseases, Model Organism and Agrogenomics. In addition, we participate in several consortia of networked projects such as the International Cancer Genome Consortium and EU-funded projects such as RD-CONNECT, READNA, AIRPROM, ESGI, BLUEPRINT, IBD-Character and BBMRI-LPC.