Description
The lab of Computational Transcriptomics at the Genome Institute of Singapore is looking for a postdoctoral fellow to develop methods for analyzing long read transcriptomics data. The successful candidate will lead software and methods development to analyze RNA isoform expression from long read RNA-Seq data, using bulk, single cell, and spatial profiling. The position will be in close collaboration with experimental and clinical collaborators.
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, statistics, machine learning, long read RNA-Sequencing, direct RNA-Sequencing
- Publication record with a first author publication (pre-prints are accepted)
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
