Senior Machine Learning Research Scientist

Pfizer's Machine Learning and Computational Sciences group is seeking a Senior Machine Learning Scientist to lead research in computational antibody design and optimization. This role focuses on developing and applying modern machine learning approaches to accelerate the discovery of next-generation biologic therapeutics. You will translate foundational AI research into real-world drug design within an innovative and collaborative environment.

• Conduct original research in computational antibody engineering, with an emphasis on generative modeling
• Develop and deploy state-of-the-art machine learning methods for antibody optimization
• Apply computational frameworks and machine learning models to predict antibody developability and affinity
• Leverage NGS-derived antibody repertoires to inform rational design
• Collaborate with computational and experimental researchers across diverse scientific disciplines
• Communicate computational models and machine learning algorithms to broad scientific audiences

• No visa sponsorship is available.

• Must be authorized to work without sponsorship.