Research Assistant/Associate (Bioinformatics - Dept of Medicine)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore, Singapore
Not specified
Proficiency in r and python programming
Experience with bulk rna-seq analysis
Expertise in single-cell transcriptomics
The National University of Singapore is seeking a Research Assistant/Associate to support computational research in metabolic liver diseases within Dr. Mark Muthiah’s lab. The role emphasizes bioinformatics and data analytics, targeting candidates with strong programming skills and a background in omics data analysis

Job Summary

  • The role focuses on computational and data-driven analysis of large-scale multi-omics and clinical datasets for metabolic liver disease research.
  • Successful candidates will receive close mentorship, intensive research training, and strong consideration for PhD enrolment at NUS.
  • The position requires collaborating with biologists, pathologists, clinicians, and hepatologists to generate biologically meaningful insights.

Matching Summary

Match Score: 85

The National University of Singapore is seeking a Research Assistant/Associate to support computational research in metabolic liver diseases within Dr. Mark Muthiah’s lab. The role emphasizes bioinformatics and data analytics, targeting candidates with strong programming skills and a background in omics data analysis.

Skills & Requirements

Must-have

  • Proficiency in R and Python programming
  • Experience with bulk RNA-seq analysis
  • Expertise in single-cell transcriptomics
  • Knowledge of spatial transcriptomics methods
  • Understanding of WGS/WES and GWAS data
  • Strong statistical modeling skills
  • Linux/Unix environment experience

Nice-to-have

  • Machine learning and AI experience
  • Clinical tabular dataset integration
  • Reproducible research practices
  • SQL database knowledge
  • Prior publication or thesis work
  • Interest in liver biology concepts

Key Requirements

  • Bachelor's or Master's degree in Bioinformatics or related field
  • Near completion of degree required
  • Solid understanding of biostatistical methods

Work Rights

Not specified

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