School of Applied Science - Research Assistant (Aquaculture Genetics)

Public Service Division; Singapore; On-site; SGD 33,000 - 60,000; Part time

Job summary

Public Service Division in Singapore is seeking a Research Assistant (Aquaculture Genetics) within the School of Applied Science. You will plan and perform life science experiments, focusing on aquaculture, genetics and genomics, and you will support data collection, sequencing workflows and reporting.

You will collaborate with project leaders and partners, mentor students, and help maintain research records and procurement processes in a contract-based role.

Qualifications

• Relevant qualification in Life Sciences, Aquaculture, Genetics, Genomics, Molecular Biology, Bioinformatics, or related discipline.
• Experience in aquaculture research or operations is an advantage.
• Familiarity with DNA/RNA assays, genotyping or sequencing workflows is advantageous.
• Ability to analyse biological/genomic datasets; basic knowledge of population genetics and statistics is an advantage.
• Strong reading, writing and reporting skills; capable of scientific documentation.

Responsibilities

• Plan and conduct life science R&D experiments focused on aquaculture.
• Support genetics and genomics research, including sample processing and genotyping workflows.
• Perform basic analysis of experimental and genomic data using statistical/bioinformatics tools.
• Review literature and assist in preparing technical reports and manuscripts.
• Coordinate with collaborators and mentor students in projects.
• Support procurement, documentation and lab management.

Skills

Laboratory skills

Data analysis

Literature review

Communication skills

Team collaboration

IT proficiency

Education

Relevant life sciences degree

Tools

Bioinformatics tools

Job description

[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.