gCS Computational Biology Internship
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Job Description
About the Company:
gRED Computational Sciences (gCS) is a department within Genentech focused on leveraging data, technology, and computational approaches to revolutionize target and therapeutic discovery and development, ultimately leading to novel treatments for patients worldwide.
Job Description:
This is a 9-month, full-time, on-site 2025-2026 gCS Computational Biology Internship based in South San Francisco. You’ll be working with a team focused on single-cell, spatial, and imaging data to study aging biology and related processes.
Key Responsibilities:
• Analyze scRNA-seq datasets to uncover cellular and tissue-level signatures of aging.
• Develop and optimize pipelines for data integration and visualization.
Program Highlights:
• 9-month paid internship (40 h/week) starting September 2025.
• Stipend provided to help with associated costs.
• Participation in seminars and cross-functional meetings.
• Collaboration with leading computational biologists and data scientists.
Qualifications:
Required Education:
• Must have attained a Bachelor’s degree (recent graduates not currently enrolled in a grad program) or
• Must be pursuing a Master’s degree (enrolled student) or
• Must have attained a Master’s degree no more than 2 years ago or
• Must be pursuing a PhD or
• Must have attained a PhD no more than 2 years ago.
Required Majors:
• Bioinformatics, Data Analysis, Computational Biology, AI/ML Engineering or related fields.
Required Skills:
• Computational analysis of single-cell genomic data (clustering, marker identification, trajectory inference, neighborhood-based analysis).
• Proficiency in R and/or Python.
• Basic understanding of cell biology and gene expression.
• Experience with AI/ML methods applied to biological data.
Preferred Knowledge, Skills, And Qualifications:
• Experience with spatial data analysis and imaging pipelines.
• Experience with atlas building from biological data.
• Exposure to machine-learning frameworks (e.g. PyTorch).
• Interest or background in aging biology.
• Strong communication and collaboration skills.
• Alignment with our values: Integrity, Courage, Passion
