Quantitative Geneticist/Analyst

Job Details

As a Quantitative Geneticist or Analyst, you’ll drive data analysis and innovation for selective breeding programs across the globe. This role offers a unique blend of scientific depth, client collaboration, and impact on real-world sustainability.

You’ll lead genetic and genomic analysis, design and evaluate statistical models, and be a key point of contact for global clients working on cutting-edge breeding programs. This is meaningful work with purpose.

Key Responsibilities

• 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

Requirements

What We Would Like to See on Your Resume:

• 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

What We’ll Explore in an Interview (Behaviors and Skills)

• Your approach to solving complex problems with curiosity and flexibility
• Communication skills and ability to translate data insights to non-technical stakeholders
• Independence and accountability in managing scientific work and timelines
• Ability to collaborate across time zones and cultures with internal and client teams
• Awareness of new methods and commitment to scientific growth
• How well you align with CAT’s purpose and values

Contact Information