Summer 2026 - Informatics and Predictive Sciences Internship

Informatics & Predictive Sciences 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

We are seeking a highly motivated and curious student to join the Informatics & Predictive Sciences group for a 10-week paid summer internship. This opportunity is ideal for candidates eager to work at the intersection of artificial intelligence (AI) and functional genomics in a dynamic, translational research environment.

The rapid generation of internal and external omics data presents a significant challenge for timely and meaningful interpretation. By leveraging cutting-edge AI tools, including large language models and agentic architectures, the intern will contribute to building solutions that accelerate biological discovery and therapeutic innovation.

This internship offers a unique opportunity to engage at the forefront of AI/ML and drug discovery. The selected candidate will gain immersive exposure to the end-to-end drug discovery process while contributing to the development of AI-driven solutions that address real-world biomedical challenges. Working alongside experienced computational and experimental scientists, the intern will help translate cutting-edge AI research into actionable tools that accelerate therapeutic innovation and have the potential to transform patient outcomes.

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

Key Responsibilities

• Curate and index processed genomic datasets (e.g., gene expression tables, chromatin binding signals, genome-wide CRISPR hits) to make them compatible with LLM-based learning and querying.
• Design and implement agentic frameworks to streamline biological insight extraction and interpretation.
• Develop interactive web-based tools (e.g., local servers, R Shiny apps) to support data visualization and cross-functional communication.
• Effectively communicate and present findings to multidisciplinary teams.

Qualifications & Experience

• Currently enrolled in a Ph.D program in computer sciences, physics, bioinformatics, computational biology or a related field.
• Experiences in agentic frameworks (e.g. LangChain, LangGraph).
• Experiences in developing LLM-powered tools (e.g. Chatbot, SQL agent, RAG) and/or deep learning (e.g. PyTorch, TensorFlow) are required.
• Experiences in genomics data analyses are a plus and not required.
• Must be able to work full-time for the program 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.

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.