SCIENTIST/ SENIOR SCIENTIST (GENETICS & BREEDING)

September 17, 2024

SFA Singapore Food Agency

FULL TIME

You will be part of our team that will contribute to Singapore’s aquaculture sector's resilience and growth by advancing the selective breeding improvement programs conducted at SFA's Marine Aquaculture Centre (MAC).
This is your opportunity to make a significant impact, not just within the team, but nationally, ensuring the resilience and safety of Singapore's food supply. Join us in this exciting journey to shape the future of Singapore's aquaculture industry.

In this role, you will:

Conduct research to develop and optimise genetic improvement and selective breeding programs for Asian seabass and other identified species.
Design and implement experiments to evaluate genetic variation, heritability, genetic correlations and Genotype-by-Environment (Gx E) interactions of commercially important traits.
Design and implement experiments to evaluate the genetic diversity and population structure.
Develop and apply statistical models to predict breeding values (e.g., GBLUP, GWBLUP, Bayes A, Bayes B, Bayes C).
Analyze phenotypic and genomic data to identify quantitative trait loci (QTL) and perform genome-wide association studies (GWAS).
Collaborate with multidisciplinary teams, including biologists, statisticians, and industry partners, to achieve project goals.
Prepare and present research findings in scientific reports, peer-reviewed publications, and at conferences.
Stay current with advancements in aquaculture genetics and breeding techniques to incorporate best practices into research projects.
Provide technical support and training on breeding and genetics best practices to industry stakeholders.

Our requirements:

Strong scientific or research background in aquaculture genetics, breeding, or related field.
Familiarity with genetic diversity and population genetics analysis such as observed and expected heterozygosity (H), effective population size (Ne) and rate of inbreeding (ΔF).
Strong knowledge in molecular genetics techniques, such as SNP genotyping, QTL mapping, and GWAS.
Strong statistical and bioinformatics skills, including experience with genomic relationship matrices (GRM) and genomic selection models.
Familiarity with software and tools for genetic data analysis (e.g., ASReml, PLINK, BCFtools, BLUPF90+).
Strong communication and interpersonal skills to collaborate with diverse stakeholders.
Ability to work independently and as part of a multidisciplinary team.

Where you are expected to work at:
Marine Aquaculture Centre (St John’s Island).

We regret that only shortlisted candidates will be notified for the interview.

We regret to inform you that this job opportunity is no longer available