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The Al-Dalahmah laboratory's mission is to define the states of glial pathology in neurologic diseases like neurodegeneration and glioblastoma. We use this knowledge to develop novel therapeutic strategies to block disease progression.

Requirements

• Expertise in programming languages such as C, Python, and R
• Significant knowledge of single-cell RNAseq analysis
• Expertise in Python and R.
• Proficiency with bioinformatics tools such as CellRanger, SpaceRanger, Seurat, and Monocle.
• Knowledge of deep learning, FACS, and image analysis.
• Previous experience aligning Fastq files, performing single nucleus and spatial RNAseq analysis, and expertise in spatial transcriptomics and cancer biology are also preferred.

Responsibilities

• Perform all analytical steps for RNAseq, single nucleus RNAseq, and spatial transcriptomics.
• Develop and implement new computational methods for analyzing spatial transcriptomics and long-read sequencing data.
• Conduct image analysis related to spatial transcriptomics experiments.
• Adapt analytical approaches to integrate with wet-lab experiments and optimize data pipelines.
• Organize, manage, and maintain large-scale sequencing datasets for reproducible analyses.
• Collaborate with wet-lab personnel on experimental design, data collection, and data annotation.

Other

• Job Type: Support Staff - Union
• Bargaining Unit: SSA
• Regular/Temporary: Regular
• Hours Per Week: 35
• A Bachelor’s degree and at least one and one-half years of related experience or equivalent in education, training and experience.
• A Master's degree in bioinformatics is a plus.
• A background in mathematics and/or biology is preferred.
• Four years of related experience is recommended.