Research Assistant (Medicine Chronic Hepatitis B (CHB)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore, Singapore
Not specified
Bachelor's degree in life sciences or biomedical sciences
Proficiency in r or python programming
Experience with rna-seq data processing
The National University of Singapore is seeking a Research Assistant for its Chronic Hepatitis B program, focusing on data analysis and computational workflows related to chronic liver diseases. The role emphasizes bioinformatics analysis, particularly involving RNA-seq and spatial transcriptomics, and offers opportunities for hands-on training and contributions to significant research publications

Job Summary

  • This role involves analyzing high-dimensional multi-omic data to uncover how hepatocytes transition from a pro-viral tolerant state to an immune-reactive flare state.
  • Candidates will lead bioinformatics analyses including trajectory mapping, pathway enrichment, and integration of clinical datasets using R or Python pipelines.
  • The position offers exposure to cutting-edge platforms like spatial transcriptomics (CosMx) and AAV-HBV1.2 mouse models with opportunities for high-impact publications.

Matching Summary

Match Score: 85

The National University of Singapore is seeking a Research Assistant for its Chronic Hepatitis B program, focusing on data analysis and computational workflows related to chronic liver diseases. The role emphasizes bioinformatics analysis, particularly involving RNA-seq and spatial transcriptomics, and offers opportunities for hands-on training and contributions to significant research publications.

Skills & Requirements

Must-have

  • Bachelor's degree in Life Sciences or Biomedical Sciences
  • Proficiency in R or Python programming
  • Experience with RNA-seq data processing
  • Knowledge of spatial transcriptomics analysis
  • Ability to perform dimensionality reduction techniques

Nice-to-have

  • Prior experience with hepatocyte or viral systems
  • Familiarity with wet-lab experimental workflows
  • Strong organizational and communication skills
  • Willingness to learn new computational techniques quickly
  • Experience integrating clinical and molecular datasets

Key Requirements

  • Bachelor's degree in Life Sciences, Biomedical Sciences, or Molecular Biology
  • Prior experience in data analysis, coding, or bioinformatics
  • Strong work ethic and ability to learn new techniques quickly

Work Rights

Not specified

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