Job Overview We are seeking a Research Fellow to contribute to research involving quantitative microbial analysis using multi-omics approaches. The successful candidate will support laboratory and computational research activities, including microbial cultivation, multi-omics data generation and analysis, bioinformatics, and modelling of microbial systems. The role offers opportunities to work in a multidisciplinary research environment and contribute to projects in microbiology, systems biology, microbial ecology, and related fields. Key Responsibilities Conduct quantitative microbial research using genomic, transcriptomic, fluxomic, and other multi-omics methodologies. Perform molecular microbiology experiments, including microbial cultivation, sample processing, and laboratory analyses. Analyse and interpret biological datasets using computational and bioinformatics tools. Develop and apply metabolic, ecological, statistical, or related models to address research objectives. Support the operation and optimisation of microbial culture systems, including bioreactors and defined culture platforms where applicable. Prepare research reports, scientific manuscripts, presentations, and project documentation. Collaborate with researchers and stakeholders from diverse disciplines to support project delivery and research outcomes. Maintain accurate experimental records and ensure compliance with laboratory safety and research governance requirements. Qualifications and Requirements PhD in Microbiology, Systems Biology, Biotechnology, Bioengineering, Bioinformatics, Life Sciences, or a related discipline. Demonstrated experience in molecular microbiology and multi-omics research methodologies. Proven experience in genomic, transcriptomic, fluxomic, or related omics analyses using laboratory and computational approaches. Experience in bioinformatics analysis of amplicon sequencing, metagenomic sequencing, or related datasets. Familiarity with microbial culture techniques; experience with bioreactor systems or defined culture systems would be advantageous. Experience in metabolic, ecological, statistical, or related modelling approaches. Strong written and verbal communication skills, including scientific writing and presentation abilities. Ability to work effectively both independently and as part of a multidisciplinary research team. Strong organisational skills, attention to detail, and the ability to manage multiple priorities and timelines. Preferred Attributes Experience integrating and interpreting multi-omics datasets. Proficiency in scientific programming, computational biology, or data analysis tools relevant to bioinformatics workflows. Track record of scientific publications, technical reports, or research project contributions. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

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