Research Officer, Lab of AI & Compute (GIS)

A*STAR Research Entities (A*STAR); Singapore; On-site; SGD 42,000 - 68,000; Full time

Job summary

Genome Institute of Singapore (GIS), A*STAR, is seeking a Research Officer to run and maintain computational pipelines for RNA-seq and long-read data. The role emphasizes hands-on execution, reproducible analysis, and supporting scientific work with reliable code.

You will process sequencing datasets, implement tools, and document workflows under senior guidance. A strong software background and collaborative mindset are essential for success in this lab.

Qualifications

• Degree in CS, software engineering, bioinformatics or related quantitative discipline.
• Strong Python programming and emphasis on reliable, maintainable code.
• Comfort with Linux command line and Git version control.
• Hands-on experience with bioinformatics workflows and RNA-seq analysis.
• Interest in computational biology and delivering reproducible computational work.

Responsibilities

• Run, maintain, and troubleshoot RNA-seq and long-read pipelines.
• Process, organize, and quality-check sequencing datasets with clear records.
• Implement, test, and document software tools and scripts under guidance.
• Support benchmarking by preparing datasets and summarizing results.
• Maintain code, docs, and computing resources to ensure reproducibility.
• Provide day-to-day computational support to lab members and collaborators.

Skills

Python programming

Linux command line

Git

Bioinformatics

RNA-seq analysis

Software engineering mindset

Education

Degree in computer science or software engineering or bioinformatics

Tools

Nextflow

Snakemake

Docker

Singularity

HPC

Job description

About the Lab

Our Lab of AI & Compute at the Genome Institute of Singapore (GIS), A*STAR works in computational transcriptomics, with a focus on method development for long-read transcriptome analysis and RNA modification detection. We build the software and pipelines that turn sequencing data into biological insight.

The Role

We are seeking a Research Officer to provide computational and technical support to the lab. This is a hands-on, execution-focused position rather than an independent research role. You will run and maintain our analysis pipelines, process sequencing datasets, and help implement and test the tools developed by the team.

The role suits someone with a software engineering or computer science background who writes reliable code, works in an organised and systematic way, and enjoys supporting scientific work. Research direction and study design are set by the lab; your focus will be on delivering accurate, reproducible computational work that the rest of the team depends on.

Key responsibilities

• Run, maintain, and troubleshoot bioinformatics pipelines for RNA-seq and long-read sequencing data
• Process, organise, and quality check sequencing datasets, and keep clear records of data and analyses
• Implement, test, and document software tools and analysis scripts under the guidance of senior lab members
• Support benchmarking of methods by preparing datasets, running comparisons, and summarising results
• Maintain code, documentation, and computing resources so that analyses are reproducible
• Provide day-to-day computational support to lab members and collaborators

Requirements

• Degree in computer science, software engineering, bioinformatics, computational biology, or a related quantitative discipline
• Solid programming ability, particularly in Python, and comfort writing clear, reliable code
• Comfortable working in a Linux / command line environment and with Git
• Hands-on experience with bioinformatics tools and workflows
• Experience with RNA-seq data analysis
• Genuine interest in bioinformatics and computational biology
• Disciplined and organised, with strong attention to detail and record-keeping
• Resilient and able to work steadily through technical problems
• A collaborative team player who works well with others and follows through on tasks

Desirable (nice to have)

• Familiarity with long-read sequencing platforms (e.g. Oxford Nanopore, PacBio)
• Experience with workflow managers (e.g.Nextflow, Snakemake) or containers (Docker, Singularity)
• Experience working on HPC clusters or in cloud environments
• Exposure to machine learning frameworks (e.g. PyTorch)
• Scripting in R or Bash

What We Offer

• A stable, well supported role in an active computational genomics lab
• Training and mentorship in long-read sequencing and RNA genomics
• A collaborative, interdisciplinary environment spanning computing and genomics
• Access to world-class sequencing data and computational infrastructure

We thank all applicants for their interest; only shortlisted candidates will be contacted.

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.