Bioinformatics Programmer I

Baylor College of Medicine Human Genome Sequencing Center
Job Location
One Baylor Plaza
Houston, TX 77030
Job Description

The Baylor College of Medicine Human Genome Sequencing Center (BCM-HGSC) seeks enthusiastic individuals to manage Next-Gen data flow for publication including submission to national archives, as well as supporting automated workflows and new software tools in a rapidly evolving research environment. This entry-level position in the Submissions Team seeks to prepare its members for future positions in bioinformatics. Therefore, an emphasis is placed on providing constructive feedback and opportunities to learn. Our team does not analyze sequence or assembly Next-Gen Sequencing data for its scientific content; we use automation to validate, format, and submit that data and its associated metadata to various external destinations such as the National Center for Biotechnology Information (NCBI) and the European Bioinformatics Institute (EBI). As one of three large-scale sequencing centers funded by the National Institutes of Health, BCM-HGSC provides a family-friendly work environment where people can contribute to the future of health outcomes.

  • Uses semi-automated workflows to validate, format, and submit Next-Gen sequence and assembly data along with its associated metadata.
  • Designs, codes, tests, debugs, and maintains programs for processing metadata relating to genome sequences.
  • Designs, maintains, and develops a system for tracking genomic data and related metadata for submission to national archives.
  • Researches, assesses, imports, configures, and customizes third- party software in order to achieve team goals.
  • Performs other job related duties as assigned.
  • People working on the Submissions Team acquire the following skills and knowledge:
    • Next generation sequence data formats
    • Next generation sequencing process
    • Software engineering practices
    • Python, BioPython, and related libraries
    • Database programming
    • Public data resources like NCBI
    • Experience with high-performance computing clusters
    • Experience with heterogeneous computing environments.
    • Project management
  • Minimum Education: Bachelor’s degree in Computer Science or Biological Sciences.
  • Minimum Job Experience: No experience required.
  • Preferred Experience: Programming in a UNIX/LINUX environment.
  • Preferred: Familiarity with one or more scripting languages such as Groovy, Perl, Python, or Ruby.
  • Preferred: Familiarity with databases, either relational or non- relational.
  • Preferred: Exposure to computational biology, genome informatics, or biological laboratory processes.
  • Experience with any other programming languages or informatics systems will be considered a plus.
How to Apply

Submit your Resume and CV to:

Lita Abreu
Human Resources Manager
Human Genome Sequencing Center
Baylor College of Medicine
1 Baylor Plaza
Mail stop: BCM226
Houston, TX 77030-3411

E-mail: [email protected]

Phone: 713-798-3936

About Our Organization

The Baylor College of Medicine Human Genome Sequencing Center (HGSC) was founded in 1996 under the leadership of Dr. Richard Gibbs and is a world leader in genomics. The fundamental interests of the HGSC are in advancing biology and genetics by improved genome technologies. As one of the three large-scale sequencing centers funded by the National Institutes of Health, the HGSC provides a unique opportunity to work on the cutting-edge of genomic science in a state of the art institution. Today, the HGSC employs ~ 200 staff, and it occupies more than 36,000 square feet on the 14th, 15th, and 16th floors of the Margaret M. and Albert B. Alkek Building. The HGSC is located on the southwest edge of downtown Houston, the fourth largest city in the U.S., in the Texas Medical Center, the world's largest medical complex. The major activity of the HGSC is high-throughput DNA sequence generation and the accompanying analysis. The HGSC is also involved in developing the next generation of DNA sequencing and bioinformatics technologies that will allow greater scientific advances in the future.

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