
The Center for Aquaculture Technologies (CAT) is at the leading edge of genetic innovation within the aquaculture industry. Employing strategies that are both results-oriented and designed for maximum value, CAT provides advanced genetic services that enhance profitability while upholding sustainable practices.
51 - 200 employees
November 8

The Center for Aquaculture Technologies (CAT) is at the leading edge of genetic innovation within the aquaculture industry. Employing strategies that are both results-oriented and designed for maximum value, CAT provides advanced genetic services that enhance profitability while upholding sustainable practices.
51 - 200 employees
• Lead the development and evaluation of statistical models for genetic analysis, including genomic prediction • Analyze and interpret genetics and genomics data to support breeding decisions • Build custom analytic pipelines to improve efficiency and accuracy • Simulate breeding scenarios and evaluate outcomes using statistical tools • Collaborate with clients and internal teams to design and execute selective breeding programs • Stay current with scientific literature and emerging methodologies in quantitative genetics and genomics • Maintain confidentiality around client programs and data • Communicate results and recommendations clearly to both technical and non-technical stakeholders
• MSc or PhD in Statistics, Quantitative Genetics, Statistical Genetics, or a related field • Experience applying statistical models to quantitative traits in livestock or aquaculture • Proficiency in R, Python, and/or working in Linux environments • Familiarity with tools like ASReml, GCTA, PLINK, and relevant R packages • Experience working with genomic datasets such as SNP or NGS data • Valid passport and ability to travel internationally • Background in aquaculture or aquaculture-related genetic improvement • Experience applying machine learning or AI approaches in genetics
Apply NowNovember 1
11 - 50
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