Summer 2026 - PhD Computational Biology Internship
Bristol Myers Squibb
Full-time
Remote friendly (San Diego, CA)
United States
Clinical Research and Development
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Role Summary
Summer 2026 - PhD Computational Biology Internship. Identifying causal drivers of cancer progression through integration of multi-modal real-world patient data to identify regulatory drivers and potential therapeutic targets. Development of statistical learning methods to infer regulon and protein activity affected by somatic alterations, with an emphasis on cross-context signal strengthening.
Responsibilities
- Aid in the development of a novel statistical model that integrates transcriptomic and somatic alteration data to infer regulons for driver genes
- Benchmark the performance of this method in patient and compound perturbation data by evaluating key biological pathways
- Cross-validate inference results across different cohorts and suggest improvements
- Deliver and communicate analysis results to internal teams
Qualifications
- Currently enrolled in a PhD program in bioinformatics, computer science, biostatistics, data science, or a similar quantitative field
- A strong foundation in statistics and machine learning methods
- Experienced in transcriptomic analyses
- Highly skilled in one or more scripting languages (e.g., R or Python)
- Excellent communication and presentation skills
- Authorized to work in the US for the duration of employment; visa sponsorship is not available