About the role
AI summarisedJoin the Laboratory of Translational Cancer Biology at GIS to apply advanced integrative methodologies, including genomics, transcriptomics, and computational analyses, to understand cancer stemness, resistance, and metastasis. This role sits at the interface of bioinformatics and experimental biology, requiring close collaboration with wet-lab researchers.
ResearchOnsiteGenome Institute of Singapore
Key Responsibilities
- Contribute to projects involving cancer genomics, transcriptomics, epigenomics, and metabolomics.
- Apply bioinformatics to data generated from high-throughput chemical-genetic screens, whole-genome engineering, and organoids.
- Collaborate closely with wet-lab researchers to drive discoveries with translational value.
Requirements
- Bachelor’s degree in Computational Biology, Bioinformatics, Biomedical Sciences, or a related discipline.
- Proficiency in R and/or Python for data analysis.
- Strong analytical, technical, and problem-solving skills.
- Highly motivated with strong organizational and communication skills.
- Ability to work independently and collaboratively in an interdisciplinary environment.