Fall Co-op 2026, Computational Genomics (Single-Cell)

Graduate-level co-op focused on evaluating single-cell foundation models for transcriptomics analysis in drug discovery. 6-month program from July–December 2026.

Key Responsibilities

• Assess publicly available single-cell foundation models for cell type annotation and workflow automation
• Build computational frameworks comparing model performance against manual labels
• Execute data preprocessing, quality control, and analysis using Python/R bioinformatics tools
• Work in AWS and HPC environments for large-scale genomics dataset analysis
• Generate visualizations and recommendations for cross-functional teams
• Collaborate with computational scientists to integrate findings into existing workflows

Required Qualifications

• Enrolled in Master's or Ph.D. program in Computational Biology, Bioinformatics, Genetics, Genomics, Computer Science, or related field
• Familiarity with single-cell genomics packages (Seurat, scanpy)
• Python and/or R experience for scientific data analysis
• AWS, Linux, or HPC cluster environment experience
• Strong analytical and scientific communication skills
• Must work full-time onsite in San Diego (no sponsorship available)