Summer 2026 - Computational Biology Internship

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. Read more: careers.bms.com/working-with-us.

Position Summary

Identifying causal drivers of cancer progression is essential for developing effective anti-cancer therapies. To achieve this, we integrate multi-modal real-world patient data (RWD) to identify key drivers that regulate key oncogenic processes and transcriptional programs. These drivers represent an opportunity for therapeutic intervention due to their disease-relevant regulatory roles. However, many existing approaches to identify these drivers rely solely on expression relationships between gene pairs, ignoring somatic alterations that are common in cancers and often independently affect regulator activity that is not captured in expression data.

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

Key Responsibilities

• Aid in the development of a novel statistical model that integrates transcriptomic and somatic alteration data to infer regulons for diver 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 improvement
• Deliver and communicate analysis results to internal teams

Qualifications & Experience

• 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 (ex. R or python)
• 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 there immigration or visa sponsorship is not available for this position.

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.

Compensation Overview

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. 

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Fin