2026 Summer Intern (Computational Sciences - Cluster of Excellence)
About The Position
The Marioni group in the Computational Sciences (CS) department studies the molecular mechanisms of cell fate decisions in early development, aging, immunology and cancer. The group has been a driver of the single cell genomics revolution, pioneering the development of robust and widely-used statistical approaches for all aspects of data analysis, from normalization through to data integration and interpretation. We are seeking a motivated, rigorous and creative individual with a strong computational background for data analysis / method development geared towards large-scale genetic perturbation data. This internship position is located in South San Francisco, On - Site.
Requirements
- Must have attained a Master's Degree.
- Must be pursuing a PhD (enrolled student).
- Computational Biology, Bioinformatics, Data Science, Statistics, Computer Science, Biomedical Engineering, Systems Biology (or related quantitative field).
- Strong programming skills (experience with ML/data analysis workflows).
- Foundations in statistics and/or machine learning.
- Prior research experience in ML/AI, computational biology, genomics, or related domain (academic or industry).
- Ability to write clean, reproducible code (version control, documentation, notebooks/pipelines).
Nice To Haves
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
- Prior experience with single cell genomics and/or imaging data.
- Prior experience with deep learning frameworks.
Responsibilities
- Contribution to computational toolkits for mapping and extracting insights from single-cell transcriptomic and imaging data.
- Exposure to cutting-edge genetic screening technologies and data (Perturb-seq, Optical Pooled Screens).
- Close collaboration with computational and experimental partners to translate scientific questions into computational analyses and methods.
- Clear communication of results through well-documented code, concise summaries, and a final presentation to the broader team.
Benefits
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start dates are in May /June 2026.
- A stipend, based on location, will be provided to help alleviate costs associated with the internship.
- Ownership of challenging and impactful business-critical projects.
- Work with some of the most talented people in the biotechnology industry.
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
