Breeding Scientist

Job not on LinkedIn

🕒 July 1

🏄 California – Remote

🏄 California – Remote

💵 $90k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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The Center for Aquaculture Technologies (CAT)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🧬 Biotechnology

🌾 Agriculture

🍽️ Food & Beverage

Biotechnology • Agriculture • Food & Beverage

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. The company's expertise encompasses aquaculture, fish genetics, shrimp genetics, genome editing, and breeding programs.

📋 Description

• Actively engage in designing, planning, and the execution of breeding programs and research objectives • The development of new approaches and customized solutions to aquaculture breeding program challenges. • Maintain confidentiality of breeding clients’ program details • Data and information organization including entering data in a database. • Maintain effective communication with clients and CAT teams • Interact effectively with multiple groups within CAT to execute breeding program goals • Analyze genetics and genomics data/information

🎯 Requirements

• Degree in Genetics, Applied Breeding or similar • Demonstrated experience in applied breeding and genetic improvement • Open-minded and flexible approach to problem solving • Excellent communication skills, both written and verbal • High level of organization skills and ability to precisely document plans and actions • Ability to manage data from diverse sources and perform basic analyses. • Passport and ability to travel • Experience within the Aquaculture industry or Aquaculture-related applications of genetic improvement (Desirable) • Experience in dealing with, and use, of high dimensional genomic datasets (SNP or NGS data) and associated software for the analysis of such data (Desirable) • Experience and/or knowledge of genomic selection and different genomic prediction models (Desirable) • Experience in R or Python, or a proven ability to learn computer languages easily (Desirable) • Knowledge of population genetics (Desirable)

🏖️ Benefits

• Generous benefits package