gCS Computational Biology Internship
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Job Description
About the Company and Job Description
Department Summary:
gRED Computational Sciences (gCS) aims to revolutionize target and therapeutic discovery and development by leveraging data, technology, and computational approaches, ultimately creating novel treatments for patients worldwide.
The Position:
The position is a 9-month on-site 2025–2026 gCS Computational Biology Internship based in South San Francisco. As an intern, you’ll join a team focused on analyzing single-cell, spatial, and imaging data to study aging biology and related processes.
The Opportunity:
• 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, full-time paid internship (40 h/week) starting September 2025.
• Stipend provided based on location.
• Participation in seminars and cross-functional meetings.
• Work alongside leading computational biologists and data scientists.
Who you are:
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 the company’s values: Integrity, Courage, Passion.
