[What the role is] School of Applied Science - Research Assistant (Aquaculture Genetics) [What you will be working on] • Plan and conduct life science R&D experiments and routine research activities with a focus on aquaculture, including fish husbandry and breeding, developmental biology, molecular biology, genetics, 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. • Perform basic analysis and interpretation of experimental, genetic and genomic data using appropriate statistical and bioinformatics tools. • Review relevant scientific literature and contribute to the preparation of technical reports, presentations, research manuscripts and other scientific outputs. • Support research activities related to genetic diversity, population genetics, genetic traceability, marker development and selective breeding, where applicable. • Work closely with the Project Leader, Co-Project Leaders and research team to achieve project objectives, timelines and deliverables. • Coordinate and support sampling, phenotyping and experimental activities with collaborating institutions, farms and other project partners where required. • Mentor and support students involved in Final Year Projects, internships, short-term work attachments and similar programmes. • Support procurement of consumables and equipment, research documentation, experimental records and general laboratory management. • Perform any other related duties assigned by the Project Leader and Co-Project Leaders. [What we are looking for] • Relevant qualification in Life Sciences, Aquaculture, Genetics, Genomics, Molecular Biology, Bioinformatics,
Agriculture or a related discipline. • Experience in aquaculture research and/or operations would be an added advantage. • Familiarity with molecular biology and genetics techniques, including DNA/RNA-based assays, genotyping or sequencing workflows, would be advantageous. • Experience handling and analysing biological, genetic, genomic or transcriptomic datasets would be advantageous. • Basic knowledge of bioinformatics, population genetics and/or statistical data analysis, with familiarity with relevant analytical software or programming tools, would be an advantage. • Ability to read and critically evaluate scientific literature and contribute to scientific reports and research manuscripts. • Good laboratory, documentation, research and data analysis skills. • Strong communication and interpersonal skills, with the ability to work effectively within multidisciplinary teams and with external collaborators. • Good planning, organisational and multitasking skills, with a strong sense of responsibility, ownership and initiative in completing assigned tasks. • Proficient in IT applications and research-related software. • Successful candidate will be employed on a contract basis and may be based fully or on a rotational basis at collaborating research institutions or aquaculture facilities.
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