Board Certified - Texas Licensed Physician Reviewers-Clinical Genetici…
Blank StreetFull Time
Junior (1 to 2 years)
Candidates must possess a Ph.D. in Animal Breeding, Quantitative Genetics, or a related field, with a minimum of 3 years of experience in the cattle sector. Proficiency in SQL, Linux, Bash scripts, and high-performance computing is required, along with experience in BLUPF90, BOLT, ASReml, or GCTA. Advanced programming skills in R, Python, or similar languages, strong technical writing and communication skills, and excellent organizational abilities are also necessary. Experience with national or global livestock genetic evaluations and implementing technologies for genetic improvement is preferred. The role requires the ability to travel 40-50% of the time.
The Quantitative Geneticist will advance the livestock genomics program by managing data control, genomic data analysis, and pipeline development. Responsibilities include designing and implementing data quality control processes, applying quantitative genetic methods to animal breeding programs, and creating genomic prediction models using data science methodologies and biological domain knowledge. The role involves collaborating with teams to resolve data issues, performing Genome-Wide Association Studies (GWAS) and Molecular Breeding Value (MBV) analysis, and utilizing model outputs to provide data-driven insights for breeding decisions. The incumbent will develop and maintain code and computational pipelines, manage genetic evaluations, and communicate complex results clearly to stakeholders.
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