Research Fellow, Faculty of Dentistry
National University of Singapore
Job Title: Research Fellow, Faculty of Dentistry University-Level Unit: Dentistry Faculty/Department-Level Unit: Dean's Office (Dentistry) Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 12/02/2026 Job Description The Faculty of Dentistry at the National University of Singapore (NUS) invites applications for a Senior Bioinformatician to support and lead advanced research with clinical and translational impact, driving the generation of high-quality data and analyses that underpin high-impact publications and grant applications. Key Responsibilities
- Provide intellectual and technical leadership in bioinformatics and computational biology to support high-impact, hypothesis-driven research.
- Lead and support multi-omics data analysis, including microbiome (16S, metagenomics, metatranscriptomics), bulk and single-cell/spatial transcriptomics, proteomics, metabolomics, and integration with clinical datasets.
- Design, implement, and maintain robust, reproducible bioinformatics pipelines across Illumina, Nanopore, and 10x Genomics platforms.
- Perform advanced downstream analyses including functional enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration.
- Apply statistical modelling, machine learning, and deep learning approaches for biomarker discovery, disease stratification, prognostic modelling, and causal inference.
- Work closely with clinician-scientists to translate computational findings into clinically relevant insights and high-impact manuscripts.
- Contribute substantially to grant development, particularly NMRC and other national or international funding schemes, through study design, analytics planning, and generation of compelling preliminary data.
- Mentor postgraduate students and research staff in bioinformatics and data science.
- Publish research findings in high-impact peer-reviewed journals.
- PhD in Bioinformatics, Computational Biology, Biostatistics, Computer Science, or a closely related discipline, with substantial postdoctoral or equivalent research experience.
- Demonstrated expertise in microbiome and complex community analysis, including metagenomic assembly, binning, and functional profiling.
- Strong experience in multi-omics data integration spanning genomics, transcriptomics (bulk, single-cell, spatial), proteomics, and metabolomics.
- Solid background in statistical analysis and survival modelling for biomedical and clinical research.
- Proven experience applying machine learning and/or deep learning methods to biological or clinical datasets.
- Proficiency in Python and R, with strong experience in Linux/HPC environments and workflow automation.
- Track record of publications in high-impact journals and contributions to competitive grant applications.
- Good scientific writing, communication, and collaborative skills.
- Experience supporting competitive grant applications.
- Ability to independently conceptualize analytics-driven research questions that lead to high quality publications.
- Experience working in interdisciplinary teams spanning clinical, wet-lab, and computational research.
- Familiarity with cloud computing, database management, and scalable analysis infrastructure.
- Strong mentoring orientation and ability to raise the overall research quality of collaborative teams.
Vacancy posted 19 days ago
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