Scientist (Postdoctoral Fellow: Computational Methods for Long Read RNA-Seq data), GIS

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Generous benefits

Job summary

Genome Institute of Singapore (A*STAR) invites applications for a postdoctoral fellow to develop computational methods for population-scale long read RNA-Seq data. The role includes identifying RNA modifications from direct RNA-Seq data and analyzing transcript expression, alternative promoters, and transcription start sites from single-cell and spatial long read RNA-Seq data.

You will work closely with experimental and clinical collaborators and have access to the latest sequencing technologies

Qualifications

• PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline.
• Good programming skills and strong interest in methods development.
• Experience in algorithms development, transcriptome analysis, RNA modifications, statistics, ML, long read RNA-Sequencing or direct RNA-Sequencing.
• Publication record with a first author publication (pre-prints accepted).
• Excellent communication skills.

Responsibilities

• Develop computational methods for population-scale long read RNA-Seq data.
• Identify RNA modifications from direct RNA-Seq data and analyze transcript expression, alternative promoters and TSSs.
• Collaborate with experimental and clinical collaborators and industry partners.

Skills

Programming

Algorithms

Transcriptome analysis

RNA modifications

Statistics

Machine learning

Communication

Education

PhD in Bioinformatics, Computer Science, Statistics, Genomics

Tools

Bambu

m6Anet

xPore

Job description

The lab of Computational Transcriptomics at the Genome Institute of Singapore, A*STAR (led by Dr Jonathan Göke) is offering a position for a postdoctoral fellow to develop computational methods for population-scale long read RNA-Seq data. Areas of interest include the identification of RNA modifications from direct RNA-Seq data, the analysis of transcript expression, alternative promoters and alternative transcription start sites from single cell and spatial long read RNA-Seq data, genome annotation for the Asian Reference Genome Project, and identifying transcriptional mechanisms for rare diseases. The position will be in close collaboration with experimental and clinical collaborators, industry partners, and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies.

The candidate will join an experienced team with expertise in methods development for long read RNA-Seq data (e.g. Bambu, Nature Methods (2023), m6Anet, Nature Methods (2022) and xPore, Nature Biotechnology (2021)), large scale transcriptomics data generation (e.g. the SG-NEx project, Nature Methods (2025)), genome assembly (I002C, Sarashetti et al, biorxiv (2025)) 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

Requirements:

• PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline
• Good programming skills, experience with coding agents, 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

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.

Benefits

The Genome Institute of Singapore offers a competitive salary and a complete benefits package.

About Singapore and the Genome Institute of 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.

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/

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.