Scientist Machine learning - Biomolecular Interactions - Bristol Myers Squibb

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.

We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.

This position will work alongside colleagues in Informatics & Predictive Sciences (IPS), Protein Homeostasis, Small Molecule Drug Design and other teams in BMS Research, and play a key scientific role in shaping the future of our most advanced therapeutic approaches, primarily focusing on protein degradation, to pursue opportunities beyond the reach of conventional small molecules. We welcome applications from candidates who are passionate about learning new drug discovery paradigms, bringing new medicines to the patients, and comfortable working in a fast-paced and highly collaborative environment.

Responsibilities:

• Interrogate properties of protein-protein and protein-ligand interaction surfaces and their molecular representations.
• Develop and apply state-of-the-art artificial intelligence/machine learning algorithms, including geometric deep learning and graph-based models, to predict complex biomolecular interactions and their selectivity.
• Devise AI/ML strategy to predict, or de novo design, small molecule ligands that enhance complex protein-protein interaction interfaces.
• Design experiments to elucidate protein interactions at the molecular level, process and analyze data for model training or to validate findings.
• Communicate results and findings to scientific project teams and stakeholders.
• Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.

Basic Requirements:

Bachelor's Degree and 5 + years of Academic / Industry experience

or

Master's Degree and 3+ years of Academic / Industry experience

or

PhD in computer science, bioinformatics, machine learning or computational biology

Preferred Qualifications:

• Ph.D. in machine learning with 2+ years of post-doctoral experience in applying computational and analytical approaches in university, pharma, or biotech settings.
• Expertise in developing state-of-the-art deep learning techniques, including diffusion models and large language models.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, Keras, including underlying implementations.
• Demonstrated ability to design & engineer multiple molecular representations and apply predictive, multivariate research approaches to integrated molecular and chemistry datasets.
• Strong working knowledge of protein structure/folding and protein-ligand interaction prediction.
• Strong problem-solving skills and ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.

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 toadastaffingsupport@bms.com. Visitcareers.bms.com/eeo-accessibilityto 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.

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