Breeding Scientist

Center for Aquaculture Technologies

$90K — $135K *
Food & Beverages
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in Genetics, Applied Breeding, or similar field
  • Experience in applied breeding and genetic improvement
  • Strong problem-solving skills with an open-minded attitude
  • Excellent written and verbal communication proficiency
  • Proven ability to work independently and deliver quality results
  • Highly organized with attention to detail in documentation
  • Ability to manage and analyze data from various sources

Responsibilities

  • Design, plan, and execute breeding programs and research objectives
  • Develop innovative solutions for aquaculture breeding challenges
  • Ensure confidentiality of client program details
  • Organize and enter data into a database
  • Maintain effective communication with clients and team members
  • Collaborate with cross-functional teams to achieve breeding program goals
  • Analyze genetics and genomics data

Benefits

  • Generous benefits package
  • Remote work options available
  • Potential for international travel
  • Opportunities to work with cutting-edge technology and methodologies
  • Collaboration with a diverse range of clients in aquaculture
Full Job Description
These are both full-time Permanent positions with the successful candidates reporting to the Genetic Services Lead for their respective region. At least one position will be based in North America; applicants based in Asia, South America, Africa, Australia, Europe, the Middle East, and other Regions are encouraged to apply. Both positions can be worked remotely; over 25% travel may be required.

Salary is commensurate with experience and global location and is expected to range from $90,000 - $135,000.

Job Overview: As a breeding scientist you will be responsible for the management, strategy and/or analyses for the selective breeding programs of multiple clients in aquaculture. You will serve as a point person for the client to help support directives that includes, but are not limited to, breeding strategy, program design, phenotyping and genotyping strategy, inventory maintenance, biosecurity training/protocol design and data analysis. You will be committed to ensuring that clients have access to the newest technology and methodology related to breeding, genetics, genomics, and aquaculture through innovation and awareness of the current literature. This position requires frequent travel to field sites for clients to oversee program directives and execution.

Responsibilities:
  • 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

Selection Criteria

Essential:
  • 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
  • Highly responsible and independent with a demonstrated ability to deliver quality outcomes efficiently and in a timely manner
  • 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

Desirable:
  • Experience within the Aquaculture industry or Aquaculture-related applications of genetic improvement
  • Experience in dealing with, and use, of high dimensional genomic datasets (SNP or NGS data) and associated software for the analysis of such data.
  • Experience and/or knowledge of genomic selection and different genomic prediction models.
  • Experience in R or Python, or a proven ability to learn computer languages easily.
  • Knowledge of population genetics.


CAT offers a generous benefits package.

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