Careers

Breeding Insight team members don protective clothing as they prepare to enter a salmon breeding facility.
BI Director Moira Sheehan (right) with BI Lead Developer Tim Parsons (left) at the USDA National Cold Water Marine Aquaculture Center in Franklin, Maine.

Breeding Insight is hiring!

Join us in the first large-scale public-sector effort to systematically apply genomic information to the breeding of specialty crops and animals. Our dynamic, multidisciplinary team of specialists at Cornell University is growing!

Current Opportunities

Bioinformatics Coordinator

Duties and Responsibilities of the Bioinformatics Coordinator include:

  • Coordinate with breeders at 5 breeding locations across the US to understand their breeding objectives, data analytic needs, and to manage project deliverables.
  • Work with PIs and breeders at USDA centers and universities to develop workflows for genomic-phenomic data analyses, specify use-cases that clearly spell out the computational and interface requirements of the breeders, and form project plans to develop key capabilities and integrate Breeding Insight into each breeding program.
  • Overall, combine these communications into a regular process in conjunction with the development cycle implemented by the software team to ensure a well-defined roadmap of new methods and features.
  • In communication with breeders, design and help to execute evaluation experiments and analyses of features introduced by Breeding Insight on which follow-up requirement documents are based.
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About Breeding Insight

Breeding Insight (BI) is a U.S. Department of Agriculture (USDA) and Agricultural Research Service (ARS) initiative hosted at Cornell University in Ithaca, New York.

Our Mission

The Breeding Insight initiative was launched in 2018 to level the playing field in the genomics era, creating new opportunities for specialty breeders in assimilating tools, technologies, and methods to catalyze the routine and accessible use of genomic insights. We integrate phenomics (trait analysis), genomics (genotypic data), data management, and software tools to help breeders increase the rate of genetic gain and create more healthy, nutritious, and sustainable specialty crops and animals.

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