Clinical Data Manager / CDISC

• 1\. Clinical Data Generation: you would lead it. We need someone who understands the entire anatomy of a data room and can guarantee that every artifact reconciles across the protocol, the datasets, the TLFs, and the narratives.
• 2\. Data room QC and task authorship: you must be capable of validating a synthetic data room for realism, internal consistency, and traceability, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.