Summer 2025 - Undergraduate Data Science 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 rich in diversity. 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

We invite undergraduates enrolled in computational biology or bio/chemical engineering programs to join our team for a summer internship in 2025.

Lead discovery and optimization (LDO) is a diverse group of scientists and engineers, providing critical assay data to support the earliest stages of drug discovery. LDO is building the future of drug discovery via next generation phenotypic screening, where machine learning and computational biology tools are enabling successful implementation. Specifically, the data science and advanced analytics team within LDO is developing a suite of capabilities to:

Aid in rapid analysis of proteomic/transcriptomic datasets. Quickly map screened compounds to putative pathways of interest (e.g. hypothesize on compound mechanism of action (MOA)). Build machine learning based tools to enable MOA prediction of unscreened compounds.

The selected intern will work with our experienced team to help build in silico perturbation tools that will enable investigation of key pathways for a given program - before, during, and after screen results are available. This work will enable rapid hypothesis generation and significant reduction in timelines, thus having a substantial impact on the future of drug discovery.

Key Responsibilities

Work with the LDO computational and systems biology working group to learn existing approaches and identify key drivers for a minimum viable product for an in silico modeling tool. Utilize historical program data to build a modeling approach that will enable in silico perturbation testing. Enable the team to incorporate observational data (e.g. assay & ‘omics data) as it becomes available, to update the predicted outcomes. Scale and release the solution to a broader audience.

Qualifications & Experience

• Undergraduate student enrolled in a Bachelor program with a May 2026 or later graduation date, in a computational biology or bio/chemical engineering program
• Computational biology, bioinformatics, and/or systems biology experience
• Experience with high throughput screening and/or proteomic/transcriptomic datasets
• Programming and data visualization experience in one or more scripting languages such as Python or R
• Experience with data engineering (e.g. SQL / Oracle databases and queries, AWS)

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.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.