The Human Genome Sequencing Center at the Baylor College of Medicine is searching for highly motivated bioinformaticians to join our group. The focus of the position will be on utilizing a combination of bioinformatics and experimental approaches to study population genetics and human genetics based on the large-scale data sets produced from the next generation re-sequencing technologies.

As the sequencing technologies have evolved quickly enough to survey large fractions of the genomic regions across large number of samples at a much affordable cost, there is a great scientific opportunity to have insightful understanding in various topics of human population genetics and disease etiologies based on deep re-sequencing data sets. This is paving the way for the promised personalized health care in the near future.

Candidates for this position should have strong statistical genetics/population genetics training. A background in bioinformatics or computation is desired. An in-depth understanding/experience in molecular experimental approaches is advantageous, however not required. In this position, we encourage both independent thinking and close interactions with other members in a large teamwork setting.

Desirable Skills and Experience Include:

  • Bachelor or Master degrees in statistical genetics/population genetics/bioinformatics.
  • Work experience with Unix, perl, ruby, C++.
  • Ability to work both independently and in a team environment.
  • Knowledge of software best practices including unit testing and continuous integration.
  • Excellent communication skills.

Population Genetics: Bioinformatician