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Bristol Myers Squibb

Principal Scientist (AI/ML) – Predictive modeling, design and optimization for therapeutic antibodies

Posted 4 Days Ago
Be an Early Applicant
Cambridge Crossing, City of Boston, MA
Senior level
Cambridge Crossing, City of Boston, MA
Senior level
Lead the design and deployment of optimization and predictive modeling solutions for biologics, integrating AI techniques with experimental feedback.
The summary above was generated by AI

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. Read more: careers.bms.com/working-with-us.

JOB DESCRIPTION 

We are seeking an experienced and collaborative Principal AI Scientist to lead the design and deployment of multi-objective optimization and predictive modeling solutions for biologics discovery and design. This role is an integral part of our Computational Design and Predictive Modeling team, which sits at the interface of cutting-edge AI and therapeutic innovation. 

You will use high-dimensional assay data and antibody repertoires to develop innovative, accurate, and scalable computational solutions that guide molecular design and optimization efforts. You will also pioneer the integration of state-of-the-art AI techniques into real-world biologics pipelines, working closely with wet-lab scientists, bioinformaticians, protein engineers, and drug discovery program teams. 

 

RESPONSIBILITIES 

  • Design, develop, and deploy multi-objective optimization frameworks that guide antibody candidate selection and optimization. 

  • Build and maintain predictive models that estimate drug-like attributes (e.g., binding affinity, expression, developability, immunogenicity, viscosity) from high-throughput assay and sequence data. 

  • Collaborate with project teams to formulate optimization goals and define interpretable, model-informed design strategies. 

  • Lead the application of cutting-edge ML methods, including Bayesian optimization, active learning, transformers, and diffusion models, to antibody design problems. 

  • Architect pipelines that integrate real-time experimental feedback into active learning or design-make-test-learn loops. 

  • Translate high-impact innovations into robust tools and workflows deployable across therapeutic programs. 

  • Contribute to scientific strategy, internal capability building, and external visibility through reports, seminars, meetings, and collaborations. 

 

QUALIFICATIONS 

  • Ph.D. in computer science, machine learning, statistics, computational biology, or related fields with 6+ years of relevant experience in industry or academia. 

  • Demonstrated expertise in multi-objective optimization, Bayesian methods, reinforcement learning, or active learning applied to molecular design or related scientific domains. 

  • Strong background in deep learning, including transformer architectures, variational autoencoders, diffusion models, or GNNs. 

  • Fluency in Python and modern ML libraries (e.g., PyTorch, TensorFlow, JAX), with excellent software engineering practices (Git, CI/CD, containerization, and reproducible research standards). 

  • Experience working with large-scale biological datasets, including sequences, assay measurements, and structural data. 

  • Track record of innovation and technical leadership in complex, multidisciplinary projects. 

  • Strong written and oral communication skills, with an ability to explain complex models to cross-functional teams and translate business needs into ML solutions. 

  • Knowledge in protein biochemistry or antibody engineering is a strong plus. 

  • Familiarity with high-performance computing and cloud-based infrastructure is desirable. 

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 a supportive culture, promoting global participation 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 an 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.

Top Skills

Jax
Python
PyTorch
TensorFlow

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