Teams at AbSci

Develop and deploy AI and deep learning models for antibody drug design, including test-time compute strategies, multi-objective optimization, target-specific design, and protein structure prediction. Analyze in silico and in vitro validation results, improve design methodologies, publish high-impact research, collaborate across computational and experimental teams, and communicate findings to interdisciplinary audiences.

Develop and deploy deep learning models for AI-guided antibody drug discovery and target identification. Design experiments, build systems biology models, and create in silico and in vitro validation approaches. Collaborate with biological and wet-lab teams, present findings, publish high-impact research, and mentor scientists and engineers.