A Bioinformatician (Research Officer level) position is available in the laboratory of Translational Cancer Biology at GIS. The Tam Laboratory harnesses functional genomics to understand dysregulation in cellular metabolism and cell state perturbations for revealing principles of cancer stemness, resistance and metastasis. We apply advanced integrative methodologies that include genomics, transcriptomics, computational analyses, metabolomics, high-throughput chemical-genetic screens, whole-genome engineering, biophysics and organoids, for enabling discoveries with clear translational or intervention value.

The successful candidate will work at the interface of bioinformatics and experimental biology, contributing to projects involving cancer genomics, transcriptomics, epigenomics, and metabolomics. The role includes close collaboration with wet-lab researchers.

Requirements:

• A Bachelor’s degree in Computational Biology, Bioinformatics, Biomedical Sciences, or a related discipline.
• Proficiency in R and/or Python for data analysis.
• Prior experience in one or more of the following areas is highly desirable: scRNA-seq, Spatial transcriptomics, ATAC-seq, CUT&Tag/CUT&RUN, RNA-seq, ChIP-seq, CRISPR/CROP-seq, microarray analysis, WES, and variant/mutation analysis.
• Strong analytical, technical, and problem-solving skills.
• Highly motivated, with strong organizational and communication skills.
• Ability to work both independently and collaboratively in an interdisciplinary environment.

Interested candidates are invited to send a cover letter stating your research interests and experience, curriculum vitae, and the names and email addresses of two references to Wai Leong TAM (tamwl@a-star.edu.sg).

A Bioinformatician (Research Officer level) position is available in the laboratory of Translational Cancer Biology at GIS. The Tam Laboratory harnesses functional genomics to understand dysregulation in cellular metabolism and cell state perturbations for revealing principles of cancer stemness, resistance and metastasis. We apply advanced integrative methodologies that include genomics, transcriptomics, computational analyses, metabolomics, high-throughput chemical-genetic screens, whole-genome engineering, biophysics and organoids, for enabling discoveries with clear translational or intervention value.

The successful candidate will work at the interface of bioinformatics and experimental biology, contributing to projects involving cancer genomics, transcriptomics, epigenomics, and metabolomics. The role includes close collaboration with wet-lab researchers.

Requirements:

• A Bachelor’s degree in Computational Biology, Bioinformatics, Biomedical Sciences, or a related discipline.
• Proficiency in R and/or Python for data analysis.
• Prior experience in one or more of the following areas is highly desirable: scRNA-seq, Spatial transcriptomics, ATAC-seq, CUT&Tag/CUT&RUN, RNA-seq, ChIP-seq, CRISPR/CROP-seq, microarray analysis, WES, and variant/mutation analysis.
• Strong analytical, technical, and problem-solving skills.
• Highly motivated, with strong organizational and communication skills.
• Ability to work both independently and collaboratively in an interdisciplinary environment.

Interested candidates are invited to send a cover letter stating your research interests and experience, curriculum vitae, and the names and email addresses of two references to Wai Leong TAM (tamwl@a-star.edu.sg).