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