Summer 2026 - Bioinformatics and Immunotherapy Internship

Internship Opportunity In Predictive Biology And Ai

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Position Summary

We are seeking a highly motivated student to join our early (preclinical) R&D group for a paid 10-week summer internship. The successful candidate will work with a mentor to apply algorithmic, statistical, systems biology, and data mining approaches to large-scale biological datasets to identify candidate gene combinations relevant to logic-gated targeting.

The intern will join the multidisciplinary Predictive Biology and AI (PBAI) team and collaborate with disease subject matter experts, particularly in immuno-oncology. At the end of the program, they will present their results to the broader Informatics and Predictive Sciences division. This internship provides a unique opportunity to gain experience in computational biology, immuno-oncology, and data-driven drug discovery within an industry setting.

The full-time internship will take place June August 2026.

Key Responsibilities

• Develop and apply systems biology algorithms and machine learning methods
• Mine large databases of genomics data
• Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states. Use these insights to support the discovery of novel therapeutic targets and understand disease mechanisms.
• Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion.
• Deliver and communicate analysis results to the team

Qualifications & Experience

Required Qualifications:

• Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences
• Strong foundation in biochemistry, cancer biology, or immunology
• Experience in applied statistics and machine learning
• Experience with RNA sequencing (bulk and/or single-cell)
• Proficiency in R or Python
• Ability to work full-time for the program's duration
• Excellent communication and presentation skills
• All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment. Please note that immigration or visa sponsorship is not available for this position.

Preferred Qualifications:

• Experience with combinatorial optimization algorithms
• Experience with spatial transcriptomics data
• Knowledge of systems biology, network or graph theory
• Experience with version control systems such as Git/GitHub
• Experience with SQL

This is a temporary, time-bound position intended for the duration of the internship or co-op program. Employment in this role does not imply or guarantee ongoing or permanent employment with BMS.

The starting hourly compensation for this assignment is within the range of $35.00 to $43.00/hr. Please note that the final individual compensation and any applicable benefits will be determined by your employer of record (and not BMS). Factors influencing this decision may include the characteristics of the assignment, such as demonstrated experience, required skill, and the geographic location of the job. Compensation details are subject to change.

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.