The Clinical Expert will drive the clinical and scientific strategy for digital twin and data generation programs, focusing on onco-immunology. They will collaborate with science and data teams to prioritize clinical questions, interpret model outputs, and manage academic and pharmaceutical partnerships.
Own and scale the operational lifecycle of biomedical data partnerships, serving as the technical bridge between external partners and internal engineering teams. Manage secure data transfers, harmonization of multi-omics datasets, and the automation of ingestion pipelines.
The role involves bridging the gap between unstructured real-world clinical data and AI models by designing data dictionaries and harmonizing data pipelines. You will act as the technical interface with global partners to ensure data integrity and automate cleaning tasks using Python.
The role involves bridging the gap between unstructured real-world clinical data and AI models by designing data dictionaries and harmonizing data pipelines. You will act as the technical interface with global partners to ensure data quality and reproducibility using Python.
