This project offers an opportunity for an intern to work at the intersection of computational analysis and cancer biology to better understand how cancer development varies across different tissues. The intern will analyze large-scale single-cell atlases spanning multiple cancer types and organs to identify patterns that are broadly shared versus tissue-specific, helping to clarify how cellular behaviors and gene activity shift as cancers progress. This internship position is located in South San Francisco, on-site. The intern will apply and evaluate statistical modeling approaches that account for key sources of variability across samples, perform robustness checks to assess reproducibility across datasets, and communicate findings through clear, publication-ready visualizations and a well-documented analysis workflow. This project is well-suited for candidates with experience in statistical modeling and analysis of high-dimensional biological data.
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Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree