job description
Join the Institute of Molecular and Cell Biology (IMCB), a flagship research institute under the Agency for Science, Technology and Research (A*STAR). We are currently seeking a highly motivated and skilled Bioinformatician to join the JL Lab (Cell Fate Lab). This is a pivotal role where you will contribute to groundbreaking research aimed at developing novel computational tools and pipelines to advance the field of therapeutic cells.
The JL Lab focuses on the intricate mechanisms of cell fate determination. As a Bioinformatician in this group, you will be at the forefront of the biological revolution, utilizing high-throughput sequencing data to decode how cells transition and differentiate. Your work will bridge the gap between raw genomic data and life-changing therapeutic applications, supporting a team of world-class scientists in a collaborative and fast-paced environment.
Singapore’s Biopolis offers a vibrant ecosystem for scientific innovation. At IMCB, you will have access to state-of-the-art computational infrastructure and have the opportunity to work on projects with direct clinical relevance. If you are passionate about using data science to unlock the secrets of biology and improve human health, we encourage you to apply.
Responsibility
- Develop, optimize, and maintain automated bioinformatics pipelines for bulk and single-cell sequencing data (RNA-seq, ATAC-seq, etc.).
- Collaborate with experimental biologists in the JL Lab to provide tailor-made computational solutions for therapeutic cell research.
- Perform advanced statistical analysis and create high-quality visualizations to interpret complex biological datasets.
- Implement machine learning algorithms to identify biomarkers and predict cell fate trajectories.
- Manage large-scale genomic data sets, ensuring secure storage, integrity, and efficient retrieval.
- Contribute to the preparation of high-impact scientific publications and grant proposals.
- Stay abreast of the latest developments in bioinformatics algorithms and stem cell biology.
Qualifications
- Master’s or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field with a strong focus on biological data.
- Proficiency in programming languages such as Python or R, and experience with Unix/Linux environments.
- Hands-on experience with Next-Generation Sequencing (NGS) analysis tools and frameworks.
- Familiarity with single-cell analysis suites such as Seurat, Scanpy, or Monocle.
- Strong understanding of molecular biology, genetics, or regenerative medicine.
- Proven ability to work in a multidisciplinary team and communicate technical results to non-experts.
- Experience with version control systems (Git) and reproducible research practices.