Senior ML Scientist: Antibody Design & Protein Modeling

Aimlroles; United States; On-site; USD 106,000 - 177,000; Full time

Benefits offered by this job

Relocation assistance

Comprehensive benefits

Job summary

Pfizer’s Machine Learning and Computational Sciences group seeks a Senior Machine Learning Scientist to lead independent and collaborative research in computational antibody design and optimization. You will develop and apply modern ML approaches to accelerate biologic discovery, working at the intersection of AI, protein science, and therapeutic discovery.

This role offers mentorship, knowledge sharing, and opportunities to publish in high-impact journals while contributing to translational

Qualifications

• Ph.D. in computational chemistry, the physical or biological sciences, chemical engineering, computer science, or a related discipline.
• Familiarity with sequence analysis and protein structure modeling concepts and tools.
• Strong background in protein language models and structure-aware predictive and generative modeling.
• Proficiency in Python and modern scientific computing libraries including model training and evaluation workflows.
• Experience with compute-intensive ML workloads, GPU acceleration, HPC environments (Slurm), and reproducible experiment management.
• Demonstrated ability to conduct independent research and publish scientific work.

Responsibilities

• Conduct original research in computational antibody engineering, focusing on generative modeling.
• Develop and deploy state-of-the-art ML methods for multi-objective antibody optimization.
• Apply computational frameworks to predict antibody developability and affinity.
• Leverage NGS-derived repertoires to inform design.
• Collaborate across disciplines to integrate AI with chemistry, modeling, and biology.
• Communicate models and algorithms to diverse scientific audiences.
• Stay current with literature and adopt promising external methods and tools.
• Publish findings and present at conferences to enhance Pfizer's scientific visibility.

Skills

Python

Machine learning

Computational chemistry

NGS data analysis

Independent research

Scientific communication

Education

PhD in computational chemistry or related field

Tools

PyTorch

NumPy

SciPy

Scikit-learn

HPC/Slurm

Job description

Pfizer’s Machine Learning and Computational Sciences group seeks a Senior Machine Learning Scientist to lead independent and collaborative research in computational antibody design and optimization. You will develop and apply modern ML approaches to accelerate biologic discovery, working at the intersection of AI, protein science, and therapeutic discovery.

This role offers mentorship, knowledge sharing, and opportunities to publish in high-impact journals while contributing to translational