Summer 2026 - Clinical Pharmacology & Pharmacometrics Internship

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

We are looking for passionate undergraduate and graduate students who are seeking summer internship opportunities to learn, grow, and work alongside with other talents. The Intern will work in Clinical Pharmacology, Pharmacometrics, and Bioanalysis (CPPB) with a specific focus on pharmacometrics related projects, under the guidance of an experienced scientist. The project will include hands-on pharmacometrics analysis and may include pharmacokinetic (PK) and exposure-response modeling of clinical data. As part of the Bristol Myers Squibb Intern Program, the internship will also provide an opportunity to gain understanding of the drug development process through interactions with matrix drug development teams, as well as networking opportunities with other interns/BMS colleagues.

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

• Work with an experienced employee(s) in the pharmacometrics group on a project applicable to one or more of the following:
• Population Pharmacokinetic modeling
• Exposure-Response modeling
• Pharmacokinetic-Pharmacodynamic modeling
• Machine Learning Initiatives in Pharmacometrics
• Tasks may include:
• To prepare analysis datasets for pharmacometrics analysis of PK, biomarker, efficacy, and safety data;
• To perform exploratory data analysis of PK, biomarker, efficacy, and safety data;
• To develop pharmacometrics models to describe clinical observations of drug concentrations and biomarker/efficacy/safety responses;
• To characterize the relationship between drug exposure and biomarker/efficacy/safety responses;
• If needed, work closely and collaborate with other colleagues and subject matter experts;
• Present analyses results, typically as a scientific poster and at a meeting to a greater team of colleagues.

Qualifications & Experience

• Candidate should be enrolled in a graduate program (Ph.D., M.S., PharmD) or undergraduate program (when applicable) in Pharmaceutical Sciences/Pharmacy, Engineering, Bioinformatics, Biomedical Sciences, Data Sciences, Mathematics or Statistics.
• Ideal candidates should be familiar with quantitative methods. Hands-on experience or formal classes/workshops with one of the modeling tools such as NONMEM, Monolix, Phoenix/NLME, R, SAS, Python, or MATLAB.
• Competitive candidates should have excellent oral and written communications skills and strong problem-solving 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 $27.00 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.