NT

Senior/Research Fellow [LKCMedicine]

ntu
CompanyNTU Novena Campus, SingaporeOnsitePosted 2 weeks ago

About the role

Senior/Research Fellow [LKCMedicine] is a active engineering role at ntu in NTU Novena Campus, Singapore. Open the role to review the official description and apply on the company site.

CompanyOnsite

Key Responsibilities

  • Provide bioinformatics analysis of microbiome-related omics data (e.g., metagenomic and metatranscriptomic sequencing), including taxonomic profiling, functional annotation, and reconstruction of metagenome-assembled genomes (MAGs).
  • Integrate microbiome datasets (e.g., metagenomics, metatranscriptomics, metabolomics) with host genomics and clinical data to investigate host-microbiome interactions.
  • Develop, implement, and maintain automated, scalable pipelines and workflows for microbiome data processing and analysis.
  • Stay up to date with emerging bioinformatics tools and incorporate relevant methods into ongoing research projects.
  • Manage datasets and databases, ensure data security, privacy, and compliance to university guidelines.
  • Collaborate with cross-disciplinary team (internal team members and external collaborators) to ensure bioinformatics pipeline aligns with overall research objective.
  • Visualize and communicate complex microbiome data in a clear and accessible manner for interdisciplinary teams.
  • Contribute to formulating hypothesis, grant writing, publications in peer-reviewed journals and present research findings at conferences, seminars, and meetings.
  • Supervise and mentor junior lab members, including graduate and undergraduate students in bioinformatics analysis and sequencing data interpretation.

Requirements

  • , functional annotation, and genome-resolved metagenomics (MAGs).
  • Familiarity with best practices in data management (e.g., Github), and reproducible research.
  • Ability to design publication-ready figures and perform data visualization tailored to scientific manuscripts.
  • Demonstrated ability to work independently, and manage multiple research projects or datasets, and collaborate effectively with multidisciplinary teams.
  • Entry level candidates with strong technical skills and motivation are also welcome to apply.
  • Hiring Institution: LKC