Research Assistant (Environmental Microbiology)

We are seeking a motivated and capable Research Assistant to support research activities involving quantitative microbial analysis using multi-omics approaches. The successful candidate will contribute to laboratory and computational research workflows, including microbial cultivation, multi-omics data generation and analysis, and modelling of microbial systems. This role offers the opportunity to work within a multidisciplinary research environment and contribute to projects involving microbial ecology, systems biology, biotechnology, and related fields. Key Responsibilities • Conduct quantitative microbial research using genomic, transcriptomic, metabolomic, fluxomic, and other multi-omics approaches. • Perform laboratory-based molecular microbiology experiments, including microbial cultivation and sample preparation. • Analyse and interpret complex biological datasets using computational and bioinformatics tools. • Develop and apply metabolic, ecological, statistical, or related computational models to address research objectives. • Support the operation, maintenance, and optimisation of microbial culture systems, including bioreactors and defined culture platforms where applicable. • Prepare research reports, technical documentation, manuscripts, presentations, and other project-related materials. • Collaborate effectively with researchers, technical staff, and external stakeholders across multidisciplinary teams. • Maintain accurate experimental records and ensure compliance with laboratory safety and research governance requirements. • Contribute to grant applications, project reporting, and dissemination of research findings where required. Qualifications and Requirements • Bachelor's degree in Microbiology, Molecular Biology, Biotechnology, Bioengineering, Bioinformatics, Life Sciences, or a related discipline. Advanced qualifications such as a PhD are advantageous. • Demonstrated experience in molecular microbiology and multi-omics research methodologies. • Experience in the analysis of genomic, transcriptomic, metabolomic, fluxomic, or related biological datasets using laboratory and/or computational approaches. • Knowledge of bioinformatics tools and workflows for amplicon sequencing, metagenomics, or related sequencing platforms. • Experience with microbial culture systems; exposure to bioreactor operations or defined culture systems would be an advantage. • Familiarity with metabolic, ecological, statistical, or related modelling approaches. • Strong scientific writing, data interpretation, and communication skills. • Ability to work both independently and collaboratively within multidisciplinary research teams. • Strong organisational skills, attention to detail, and the ability to manage multiple tasks and timelines effectively. Preferred Attributes • Experience integrating multiple omics datasets for biological interpretation. • Proficiency in scientific programming or data analysis tools commonly used in bioinformatics and computational biology. • Experience contributing to scientific publications, technical reports, or research proposals. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU