Research Assistant (Aquaculture Genetics)

About the role

The School of Applied Science at Republic Polytechnic is recruiting a Research Assistant for aquaculture genetics. The role covers life science R&D experiments and routine research activities focused on aquaculture, including fish husbandry and breeding, developmental biology, molecular biology, genetics, genomics, transcriptomics, diagnostics and fish health. It works closely with the Project Leader and Co-Project Leaders and may involve full-time or rotational work at collaborating research institutions or aquaculture facilities.

Key responsibilities

• Plan and carry out life science R&D experiments and routine research, including fish husbandry and breeding, genomics, transcriptomics, diagnostics and fish health.
• Support aquaculture genetics and genomics research, including sample collection and processing, molecular assays, genotyping/sequencing workflows and preparation of genetic and phenotypic datasets.
• Analyse and interpret experimental, genetic and genomic data using statistical and bioinformatics tools.
• Review scientific literature and help prepare technical reports, presentations, research manuscripts and other outputs.
• Support work on genetic diversity, population genetics, genetic traceability, marker development and selective breeding where applicable.
• Coordinate sampling, phenotyping and experimental activities with collaborating institutions, farms and partners.
• Mentor students in Final Year Projects, internships and short-term attachments.
• Help procure consumables and equipment, manage research documentation and laboratory records.

Required profile

• Relevant qualification in Life Sciences, Aquaculture, Genetics, Genomics, Molecular Biology, Bioinformatics, Agriculture or a related discipline.
• Experience in aquaculture research or operations is an added advantage.
• Good laboratory, documentation, research and data analysis skills.
• Strong communication, planning, organisational and multitasking skills, with good teamwork and initiative.

Required skills

• Familiarity with molecular biology and genetics techniques (DNA/RNA assays, genotyping or sequencing workflows) is advantageous.
• Experience handling biological, genetic, genomic or transcriptomic datasets is advantageous.
• Basic knowledge of bioinformatics, population genetics and statistical data analysis, with familiarity with analytical software or programming tools, is an advantage.
• Ability to read and evaluate scientific literature and write reports and manuscripts.
• Proficiency in IT applications and research-related software.