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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

The Discovery Biotherapeutics group in Cambridge, Massachusetts is dedicated to the discovery and development of innovative biologics. Our primary mission is to design and implement advanced biological tools and processes that drive the forefront of therapeutic innovation. By leveraging cutting-edge technologies and expertise, we aim to pioneer new approaches that enable the creation of novel biologics, ultimately advancing the field of biotherapeutics and improving patient outcomes.

The BMS Machine Learning Research Group is seeking a passionate and creative graduate student or researcher for a paid 6-month co-op for Spring 2025. As a member of our Machine Learning Research team, you will explore novel ideas at the intersection of large language models (LLMs), generative modeling, and geometric deep learning, with applications to antibody design.

Key Responsibilities

• The candidate will gain practical knowledge of working with LLMs for proteins and geometric deep learning.

• The candidate is expected to produce a technical report suitable for a machine learning conference workshop (such as NeurIPS) describing the impact of incorporating surface information into the LLMs.

• Participate and contribute during scientific discussions.

• Analyze data and present project findings at the conclusion of the program.

Qualifications & Experience

• A minimum of a BS in Physics, Mathematics, Computer Science, or a related technical field.

• Currently enrolled in a graduate school program pursuing a Master's or Ph.D. degree.

• Demonstrated ability to conduct independent machine learning research.

• Candidate should have strong communication and presentation skills (written and verbal), and the ability to work in a collaborative environment.

• Candidate must be eligible for employment in the United States, and available to work from January 6th, 2025, to June 20th, 2025.

• This role is located at our Cambridge, MA site, and requires onsite presence in a hybrid capacity.

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/ (https://careers.bms.com/eeo-accessibility) 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.

Company: Bristol-Myers Squibb

Req Number: R1585534

Updated: 2024-09-19 06:20:38.820 UTC

Location: Cambridge Crossing-MA

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.