Posted:
10/18/2024, 8:39:38 AM
Location(s):
New Jersey, United States ⋅ New Brunswick, New Jersey, United States
Experience Level(s):
Internship
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
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.
This intern position is within the Drug Product Development (DPD) department in New Brunswick, NJ. DPD develops novel formulation, processes, and medical devices to enable drug products at clinical and commercial stages. This role offers a unique opportunity to leverage state-of-the-art predictive modeling and data science techniques to advance the science of drug development, contributing directly to improving patient lives. You will collaborate with multidisciplinary teams, using data analytics, AI/ML models, and computational techniques to drive insights and innovation across therapeutic areas.
We are looking for candidates who are highly motivated and self-driven, have demonstrated innovative problem-solving ability and the ability to work independently as well as in a team environment. We are asking for experience in one or more of: computational modeling (e.g., fluid dynamics, discrete element modeling, or other similar techniques), machine learning (ML) and artificial intelligence (AI) applied to large datasets, pharmaceutical unit operations for parenteral or oral solid dosage forms, or medical device applications.
Summer interns will work with mentors for ~10 weeks on a guided research project within a PD Project Team. The program is organized to ensure that interns gain valuable industry and functional experience, work on challenging assignments, learn about BMS and meet diverse company representatives.
The program will feature:
An orientation, including an overview of company structure, products and brands
An introduction to the GPS and PD organizations
Exposure to senior management and business leaders
Formal presentation at the end of your internship
Regular discussion of project progress with multiple mentors
Formal review and feedback sessions
Program Dates: Monday, June 2, 2025 – Friday, August 8, 2025
Location: New Brunswick, NJ
Please Note: Interns that will be in-person and reside more than 50 miles away from the work location are eligible for a travel or housing stipend.
Key Responsibilities
The intern will have the opportunity to contribute to one or more of the following areas, depending on their experience and interests:
Contribute to drug product development projects by designing and implementing computational models that analyze the effects of process variables and material properties on product attributes.
Apply machine learning (ML) and artificial intelligence (AI) techniques to large datasets, driving insights for decision-making and mitigating product-related risks.
Develop and test predictive models that enhance our understanding of key pharmaceutical unit operations for both oral solid and parenteral dosage forms.
Collaborate with formulation, process development, and device engineering teams to improve product performance through data-driven insights.
Communicate and present results at internal forums. Present scientific results to a diverse audience through data analysis and visualizations.
Qualifications & Experience
Must include GPA on resume (program requires GPA of 3.0 or greater) and a summary of their current research, not exceeding two pages, for consideration.
Demonstrated experience in computational modeling and/or data science, applied to engineering or pharmaceutical challenges.
Experience in one or more programming languages such as Python, MATLAB, R, or similar, with an emphasis on data analysis and modeling is preferred.
Knowledge of drug product development processes and pharmaceutical unit operations and/or medical devices is preferred.
Strong communication skills, with the ability to present technical information to both scientific and non-technical audiences.
Ability to solve problems independently with minimal guidance.
Must be able to work effectively in a collaborative, multidisciplinary team environment, demonstrating strong interpersonal and communication skills.
BMSEC, BMSINTERN
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 [email protected]. 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.
Website: https://bms.com/
Headquarter Location: New York, New York, United States
Employee Count: 10001+
Year Founded: 1887
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Biotechnology ⋅ Health Care ⋅ Medical ⋅ Pharmaceutical ⋅ Precision Medicine