AI/ML Architect for Biologics & Antibody Discovery

Sotalent; Boston (MA); On-site; USD 154,000 - 243,000; Full time

Job summary

Sotalent is seeking an Associate Director of AI and Machine Learning for Biologics to lead computational strategies across de novo protein design, antibody and antigen discovery, and multi-objective optimization in a cutting-edge biopharma setting.

You will bridge technical teams with senior leadership, shaping the AI roadmap for multiple therapeutic programs, and mentor scientists while collaborating with automated platforms to accelerate discovery.

Qualifications

• PhD or Masters with extensive experience in machine learning applied to biology
• Proven ability to build ML models for biological data, especially molecular design
• Strong communication skills to translate technical concepts for leadership

Responsibilities

• Design and drive ML strategies for de novo protein design and multi-objective optimization of biologics
• Implement generative models and protein language models for antibody/antigen discovery
• Collaborate with automated experimental platforms to integrate design and confirmation cycles
• Build predictive tools for protein engineering and developability using large-scale data
• Translate complex computational findings into actionable insights for cross-functional teams
• Provide strategic guidance on AI applications across drug programs
• Mentor junior scientists and act as SME for senior stakeholders

Job description

Sotalent is seeking an Associate Director of AI and Machine Learning for Biologics to lead computational strategies across de novo protein design, antibody and antigen discovery, and multi-objective optimization in a cutting-edge biopharma setting.

You will bridge technical teams with senior leadership, shaping the AI roadmap for multiple therapeutic programs, and mentor scientists while collaborating with automated platforms to accelerate discovery.