Computational Transcriptomics Expert

2 days ago


Queenstown, New Zealand Agency For Science, Technology And Research Full time

Position Summary

We are seeking a highly skilled postdoctoral fellow to join our team at the Genome Institute of Singapore. The successful candidate will work on long read single cell and spatial RNA-Seq data, developing computational methods and pipelines for long read RNA-Seq data analysis.

The project aims to study the transcriptome of neurodegenerative diseases using mouse models and human brain organoids. The position involves close collaboration with experimental and clinical collaborators, providing resources for large-scale data generation and full access to the latest long read sequencing technologies.

Key Responsibilities

  • Develop computational methods and pipelines for long read RNA-Seq data analysis
  • Analyze transcript expression, alternative promoters and alternative transcription start sites from single cell and spatial long read RNA-Seq
  • Collaborate with experimental and clinical collaborators to study the transcriptome of neurodegenerative diseases

Requirements

  • PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline
  • Good programming skills and strong interest in methods development
  • Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing, direct RNA-Sequencing
  • Publication record with a first author publication (pre-prints are accepted)
  • Excellent communication skills

What We Offer

The Genome Institute of Singapore offers a competitive salary and a complete benefits package that ensures a very high living standard in one of the most modern cities in the world.



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