Summer 2026 – Translational Bioinformatics Internship Full-time

Internship Opportunity

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

To support research focused on identifying biomarkers and understanding molecular features associated with specific genetic aberrancies in disease. The intern will use omics datasets and computational modeling to predict candidate biomarkers, characterizing their impact on tumor biology through analysis of multi-modal datasets. This position offers a hands-on research experience within a collaborative, cross-functional team in a dynamic R&D environment. The intern's work will generate valuable insights into disease mechanisms and contribute to strategic decision-making for drug development.

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

Key Responsibilities

• Prediction Modeling: Apply predictive modeling techniques to identify candidate biomarkers that improve identification of patients with STK11 or KEAP1 genetic variations.
• Spatial Transcriptomic Analysis: Utilize spatial transcriptomic data to characterize molecular features associated with STK11 and KEAP1 genetic alterations in NSCLC.
• Flexible Deliverables: Project goals may be tailored to fit the intern's interests and skills. For example, predictive modeling can be broadened to benchmark multiple methodologies, and molecular characterization may extend to multi-modal datasets.

Qualifications & Experience

• Currently enrolled in a PhD program in bioinformatics, computational biology, biostatistics, or a related quantitative field.
• Proficiency in at least one scripting language (R preferred).
• Familiarity with data reproducibility best practices (e.g., Git/GitHub; containers/workflows are a plus).
• Experience analyzing spatial transcriptomics data and/or building prediction models using omics data types.
• A strong foundation of cancer biology is a plus.
• Must be able to work full-time for the program duration.
• Excellent written and verbal communication 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.

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.