Summer 2025 - Machine Learning PhD Internship
Cambridge Crossing
Applications have closed
Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.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 are seeking a highly motivated and talented Machine Learning Intern to join our team and contribute to a cutting-edge project aimed at harnessing advances in structure prediction by deep learning models. As part of the Protein Homeostasis team of the Informatics and Predictive Sciences (IPS) department at Bristol Myers Squibb, this internship position is responsible for adapting and developing novel structure-based generative models to enable targeting of the ubiquitin proteasome system (UPS) and other protein homeostasis pathways.
Key Responsibilities
- Preprocess and analyze structural and biochemical datasets.
- Adapt, develop, and implement generative machine learning models.
- Evaluate and optimize model performance.
- Collaborate with team members. Communicate and document findings, methodologies and results.
- Present findings at the final internship presentation.
Qualifications & Experience
- Currently pursuing a PhD in Computer Science, Data Science, Machine Learning, or a related field.
- Experience with deep learning frameworks (pyTorch, TensorFlow, etc).
- Experience working with biochemical datasets (e.g. protein sequences or structures).
- Knowledge of statistics and mathematics.
Preferred experiences:
- Experience with generative ML models.
- Experience working with 3D structures.
- Knowledge of biology, chemistry and physics.
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.
Tags: Biology Chemistry Computer Science Deep Learning Excel Generative modeling Machine Learning Mathematics ML models PhD Physics Privacy PyTorch Statistics TensorFlow
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.