Postdoc positions

Postdoctoral Fellow: Computational Biology/Long Read Single Cell and Spatial RNA-Seq

The lab of Computational Transcriptomics at the Genome Institute of Singapore (led by Dr Jonathan Göke) is offering a position for a postdoctoral fellow to work on long read single cell and spatial RNA-Seq data. The position involves development of computational methods and pipelines for long read RNA-Seq data, and the analysis of transcript expression, alternative promoters and alternative transcription start sites from single cell and spatial long read RNA-Seq. The project aims to study the transcriptome of neurodegenerative diseases using mouse models and human brain organoids. The position will be in close collaboration with experimental and clinical collaborators and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies. 

Postdoctoral Fellow: RNA genomics/computational methods for long read direct RNA-Seq data

The lab of Computational Transcriptomics at the Genome Institute of Singapore (led by Dr Jonathan Göke) is offering a position 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 modifications from nanopore direct RNA-Seq data. The candidate is expected to develop new supervised and unsupervised approaches using statistics and machine learning, and to apply them to clinical samples. The position will be in close collaboration with experimental and clinical collaborators and industry partners. The project provides resources for large-scale data generation and full access to the latest long read sequencing technologies. 

About the Laboratory of Computational Transcriptomics:

The candidate will join an experienced team with expertise in collaborative software development and direct RNA-Seq data analysis (e.g. xPore, Nature Biotechnology (2021), m6Anet, Nature Methods (2022), bambu, Nature Methods (2023)), large scale transcriptomics data generation (e.g. the SG-NEx project), and the analysis of large-scale transcriptomics data (e.g. Demircioglu et al, Cell (2019)). More information about the lab can be found online: https://www.jglab.org/ and www.github.com/goekelab

Benefits:
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.

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 in written and spoken English

We are searching for promising candidates who are great team players and actively seek opportunities to learn new skills. If you are unsure about your eligibility, please feel free to reach out via email.

About the Genome Institute of Singapore
The Genome Institute of Singapore (A*STAR) is the national flagship program for genomic science in Singapore. You can find out more online: http://www.gis.a-star.edu.sg/

Why Singapore?
Singapore is a city-state with one of the highest standards of living in the world and an international hub for the biomedical sciences. Singapore is a vibrant, tropical city, with rich Asian heritage and modern style of living, an ideal gateway to explore Asia, providing a unique experience and an excellent quality of life.

Contact and further information
For inquiries or to apply, please email your CV and a short introduction about yourself, your past research experience and your future research interests to Jonathan Göke (gokej@gis.a-star.edu.sg)