Demand shaping, prioritization, and value: Provide scientific leadership to identify and scope the highest-value clinical development questions in cell therapy that AI can address; translate function needs into a prioritized pipeline; build business cases with success metrics; track adoption and benefits after delivery; champion change so solutions are used in practice; guide buy-versus-build and vendor evaluations for cell therapy use cases.
Strategy and forward look: Align cell therapy-focused AI efforts with the broader AI for Clinical Development portfolio; anticipate scientific and clinical nuances unique to cell therapy that shape design and validation; monitor the state of the art and co-create the forward roadmap; identify methodological requirements, evidence gaps and advocacy opportunities to safely advance clinical AI.
Business partnering and relationship management: Serve as the primary, trusted partner between AI for Clinical Development and the enterprise cell therapy organization spanning hematology, oncology, autoimmune and rare diseases; act as a core member of cell therapy project teams while coordinating with AI delivery functions; develop a deep understanding of priorities, workflows and decision points; represent the voice of cell therapy to AI teams and the capabilities and constraints of AI to clinical teams; build credibility with senior leaders and provide structured decision support when priorities compete.
Data, standards, and validation: Bring the clinical and scientific context—endpoints, reference standards and constraints—that AI teams need; work side by side with AI scientists and engineers from scoping through development, evaluation and clinical validation; define and guide clinical and scientific validation against the right reference standards to meet the evidentiary bar required in clinical development.