Senior/Staff AI Scientist, Target Discovery

Role: Senior/Staff AI Scientist focused on advancing protein design models for antibody therapeutics at Absci. Responsibilities: develop and deploy deep learning models predicting signaling effects of interventions; design experiments for training and validation; collaborate with cross-disciplinary teams including biologists and wet lab scientists; create in silico and in vitro validation strategies; communicate results to diverse audiences; publish impactful research; mentor team members. Qualifications: PhD or equivalent in Machine Learning, Computational Biology, or related fields; 3+ years post-grad experience in deep learning; proficient in Python and PyTorch; expertise in large-scale model architecture, biological data validation, and system biology modeling; proven ability to work in fast-paced, interdisciplinary settings with strong publication record. HighValue: AI-driven antibody discovery, protein design, deep learning, biological datasets, in silico/in vitro validation, collaboration with biologists, publication track record. WorkSetup: Remote, with options to work onsite in NYC or Vancouver; no travel specified.