Computational Biology Internship at Bristol Myers Squibb | Life Science Summer Internship – Apply Now
Looking to gain hands-on experience in computational biology while working with cutting-edge multi-omics datasets? Bristol Myers Squibb is offering a highly competitive Summer 2026 Computational Biology Internship in San Diego, CA. This 10-week program is designed for motivated MS and PhD students to contribute to precision medicine projects, learn advanced R/Python pipelines, and collaborate with high-achieving teams. Apply now to elevate your career with a Bristol Myers Squibb internship that combines meaningful research and real-world impact.
About Bristol Myers Squibb
Bristol Myers Squibb (BMS) is a global biopharmaceutical company focused on discovering, developing, and delivering innovative medicines for patients with serious diseases. BMS emphasizes collaboration, scientific excellence, and meaningful impact, offering internships and programs that empower young scientists to thrive in cutting-edge biomedical research.
Computational Biology Internship Details:
- Internship Title: Summer 2026 – Computational Biology Internship
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Location: San Diego, CA, US
Position Summary
- The Computational Biology Summer Internship 2026 offers an exceptional opportunity for students to:
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Work on large-scale multi-omics datasets
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Explore network analysis and systems biology methods
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Discover actionable patterns to support next-generation therapeutic strategies
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Gain industry experience in balancing independent and collaborative research
- Interns will be paired with a mentor to identify co-response patterns, investigate drug synergy opportunities, and map multi-target strategies using Python or R pipelines.
Key Responsibilities
- Interns in this computational biology intern role will:
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Analyze internal and public multi-omics and perturbational datasets to uncover biomarker and pathway signatures
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Build reproducible R/Python pipelines and implement published methods
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Integrate orthogonal evidence, such as network/pathway context and prior knowledge graphs, to increase confidence in findings
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Develop simple prioritization scorecards to nominate hypotheses (e.g., candidate drug combinations or multi-target strategies)
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Communicate results via clear figures, notebooks, and presentations to cross-functional teams
Qualifications & Experience for Computational Biology Internship
- Ideal candidates are MS or PhD students with experience in:
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Programming with Python or R
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Statistical modeling and machine learning frameworks
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Network analysis and multi-omics/systems biology methods (e.g., transcriptomics/proteomics)
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Strong verbal and written communication skills
- Additional requirements:
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Currently enrolled in a relevant MS/PhD program (bioinformatics, or similar)
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Full-time availability for the internship (June – August 2026)
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Authorization to work in the US for the program duration
Compensation & Benefits
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Hourly compensation: $35 – $43 per hour
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Potential incentive cash and stock opportunities
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Competitive benefits, flexible work environment, and professional growth opportunities
