Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
The Human Genome Sequencing Center (HGSC) at Baylor College of Medicine seeks an enthusiastic individual to work with software in a rapidly evolving research environment to support the advance of next generation sequencing technology and genomics research.
As one of three large-scale sequencing centers funded by the National Institutes of Health, HGSC provides a unique opportunity to work with cutting-edge genomic scientists.
*Prepares detailed specifications from which programs will be written.
*Designs, codes, tests, debugs, documents and maintains programs.
*Designs and develops research software.
*Configures and customizes third-party software.
*Advises on hardware and software decisions.
*Applies existing custom research software to both well-defined and complex problems.
Required: Bachelor's degree in Computer Science, MIS, or related programming field.
One year of programming experience preferred.
Preferred: Exposure on bioinformatics and data analysis. Specifically, comfortable with NGS informatics concept and basic statistical analysis methods.
Please apply directly to 229371JC at www.medschooljobs.org
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
The BCM Human Genome Sequencing Center employs more than 200 staff, and is located in Houston, in the Texas Medical Center, the world’s largest medical complex.
The major activity of the BCM-HGSC is high-throughput DNA sequence generation and the accompanying analysis. The center currently operates multiple sequencing platforms (Illumina, Ion Torrent, 454, Sanger). The sequence data generated by these machines is analyzed in a complex bioinformatics pipeline, and the data are deposited regularly in the public databases at the National Center for Biotechnology Information (NCBI). This ensures that the worldwide research community has timely access to the data.
The BCM-HGSC is also involved in developing the next generation of DNA sequencing and bioinformatics technologies that will allow greater scientific advances in the future.