Job Skills: Programming in R
This position is with the post-diagnosis group within GRAIL's Bioinformatics and Data Science organization. We are building a team to detect disease, monitor the dynamics of disease burden, and to characterize disease biology with a specific focus on patients after they have been diagnosed with cancer. [More]
As a leader in applying cutting-edge technology to animal breeding, STgen is seeking a motivated Bioinformatician as part of the genetics and genomics research team. In this role, you will be part of the research and development team, managing and analyzing NGS projects. This position will be based at STgen headquarters near College Station, TX. [More]
The Bioinformatics Lab of McDermott Center for Human Growth and Development at University of Texas Southwestern Medical Center at Dallas solicits applications for Computational Biologist I & II. [More]
The Lead Bioinformatics Programmer will assist with research project development for early-career faculty in the National Institutes of Health (NIH) All of Us Evenings with Genetics Research Education Program. This position will work collaboratively with the All of Us project directors and staff to achieve objectives and goals as defined by the program. [More]
Work under the Manager of Clinical Bioinformatics and support our current Clinical Operations for NGS (Next Gen Sequencing) assays. The candidate will support many of our current applications and maintain the current pipelines that support the Profile project as well as provide support to the end users of this data. [More]
Advanta Seeds in College Station, TX is looking for an intern that can install and upload data in a Genome Browser and a BLAST+ Server. The candidate should have some experience working in Linux environment, understanding of NGS data and basic knowledge in genomics. 1-3 years of experience in the field. [More]
The laboratory is seeking a skilled and motivated computational scientist to join the lab as a postdoctoral fellow and make leading contributions to aging research. This is a unique opportunity for a computational scientist to work closely with experimental biologists, analyze cutting-edge data types, and help develop new analytical frameworks for data integration. [More]