Senior Scientist I - II, Computational HitGen / LeadGen

Role: Senior Scientist specializing in computational methods for AI-enabled small molecule drug discovery at AbbVie, focusing on developing, optimizing, and deploying advanced machine learning techniques for hit and lead generation. Responsibilities: collaborate with medicinal chemists, structural and cell biologists to establish target criteria; support project teams by selecting and applying cutting-edge computational approaches, including AI/ML models for binding affinity prediction, molecular design, and synthetic tractability; communicate methodology rationale to cross-functional teams; contribute to workflow development for rapid chemical space sampling and property prediction. Qualifications: PhD or equivalent in chemistry, computer science, machine learning, cheminformatics, or chemical engineering; 8+ years (MS) or 10+ years (BS) for Senior Scientist I, or 4+ years (PhD) for Senior Scientist II with extensive experience in ML models related to chemical/biological data. Skills include expertise in machine learning/deep learning, cheminformatics, coding in Python, and familiarity with AI-driven molecular design, pose and affinity prediction, and retrosynthesis analysis. Preferred: prior contribution to early-stage drug discovery campaigns. HighValue: focus on small molecules, AI/ML-based design, hit/lead identification, and synthetic tractability workflows. WorkSetup: not specified.