This role provides scientific and strategic leadership to embed AI/ML-enabled pathology and digital pathology capabilities into Takeda’s nonclinical research workflows. This role will work with the NCSP iDigPath team to advance AI/ML applications that enable quantitative, high-content analysis of pathology data to improve sensitivity, reproducibility, and translational relevance of tissue-based endpoints to contribute to the validation of novel targets, guide the design of efficacy and safety assessment strategies, and ensure robust integration of pathology insights into program advancement and governance decisions. This role will implement workflows to integrate digital pathology into target validation, efficacy and safety assessment strategies to support program advancement and decision-making, primary evaluation and peer review of pathology specimens and data and study reports.
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Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree