Principal Research AI Innovation Lead

Role: Principal Research AI Innovation Lead in BMS's Informatics and Predictive Sciences team, focusing on designing and scaling AI capabilities to advance drug discovery research. Responsibilities: collaborate with scientists to identify high-impact AI opportunities; develop reusable AI frameworks such as agentic workflows, evaluation tools, and provenance infrastructure; architect and implement complex AI systems for scientific workflows, including target evidence assembly and biomarker interpretation; establish rigorous evaluation and governance standards; incorporate scientific rationale and expert feedback into AI systems; coordinate with engineering and legal teams; communicate AI strategies and findings. Requirements: Bachelor's degree with 8+ years, Master's with 6+ years, or PhD with 4+ years in scientific, computational, or AI fields; experience in translational research, target evaluation, or biomarker discovery; deep expertise in modern AI, large language models, and scientific evidence reasoning; familiarity with biomedical data sources. Preferred: advanced degrees, experience in research environments, and proficiency in AI system architecture, evaluation frameworks, and domain-specific models. High-Value: focus on AI-enabled research acceleration across therapeutic areas; work spans translational science, biomarker research, and clinical evidence; engaging cross-functionally with research, AI, data, and engineering teams. Work setup: remote within the U.S.; no explicit travel requirements stated.