Job Description

Summer 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.

Position Summary

Summer internship dedicated to piloting innovative machine learning workflows to support cross-study integration of clinical trial data. In this role, you will collaborate across informatics and pharmacometrics teams to enhance a variational autoencoder (VAE) pipeline for translating patient-level data between unpaired and heterogeneous datasetsan important advancement for precision medicine and translational research.

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

Key Responsibilities

• Conduct literature reviews and benchmark current state-of-the-art cross-modality data translation methods
• Implement and customize generative models tailored to clinical trial datasets with minimal feature overlap
• Evaluate translation performance using cluster robustness, correlation, and other relevant metrics
• Explore and prototype supervised extensions, including clinical outcome integration and uncertainty quantification
• Document code, create reproducible analysis scripts, and contribute to packaging methods for future deployment and cross-team collaboration

Qualifications & Experience

• Enrolled in a PhD program in bioinformatics, computational biology, or a quantitative discipline (preferred)
• Demonstrated scientific curiosity and interest in translational research and drug development
• Strong programming skills in Python, including use of PyTorch and standard data science libraries
• Strong interest in gaining hands-on experience with deep learning models
• Experience in data wrangling, statistical analysis, and data visualization
• Ability to research, critically evaluate, and synthesize scientific literature
• Ability to work independently and as a member of a broader computational team
• 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.

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