Absci

AI Research Scientist

• Develop state-of-the-art deep learning models for structure-based antibody design, antibody sequence design, antibody-antigen co-folding, binding prediction, and physics-based antibody design and evaluation
• Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies
• Deliver and publish high-impact research that advances Absci’s position as a thought leader in AI antibody design
• Support Absci’s AI Research team in developing and validating software platforms for antibody design and in silico assessment
• Collaborate with Wet Lab and Drug Creation teams to translate experimentally-validated AI designs into clinically-viable therapeutics

AI Scientist Intern

• Absci is a data-first AI drug creation company designing differentiated therapeutics using generative AI
• Integrated Drug Creation platform powers de novo AI models and AI lead optimization models for biologics
• Develop AI models that generate and evaluate antibody therapeutic candidates toward de novo antibody design
• Role intersects deep learning, protein design and engineering, NLP, computer vision, and molecular dynamics
• Position can be remote, hybrid, or on-site in New York, NY, or Vancouver, WA
• Key responsibilities: develop state-of-the-art deep learning models for structure-based antibody design, sequence design, antibody-antigen co-folding, binding prediction, and physics-based evaluation
• Partner with AI Research, Platform Engineering, and Computational Biology to identify challenges and design AI-driven solutions
• Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies
• Deliver and publish high-impact research advancing Absci’s position in AI antibody design

AI Scientist

• Absci is a data-first AI drug creation company designing differentiated therapeutics using generative AI.
• Develop AI models that generate and evaluate antibody therapeutic candidates for de novo antibody design.
• Collaborate with cross-functional teams (disease biologists, structural biologists, wet lab scientists) to define design criteria and deliver AI designs.
• Deploy deep learning models for structure-based and sequence-based antibody design, co-folding, binding prediction, and physics-based evaluation.
• Collaborate with wet lab to design AI antibody libraries and wet lab workflows for in vitro assessment.
• Analyze in silico and in vitro validation results and iteratively improve methodologies.
• Communicate and present results to diverse audiences and publish high-impact research.

AI Scientist Intern

AI Scientist

AI Scientist, Drug Creation