The Computational Oncology team drives innovation by transforming ‘omics and biomarker data into actionable insights that accelerate Takeda’s Oncology pipeline. As part of the Precision and Translational Medicine organization, we collaborate across disciplines to decode complex datasets and shape strategies for personalized cancer therapies. Our mission is to improve patient outcomes by integrating cutting-edge analytics with translational science in a dynamic, purpose-driven environment. In this role, the candidate will collaborate with cross-functional teams to design and execute independent analyses using proprietary tumor datasets. They will integrate gene expression, protein abundance, and genetic mutation data to support precision medicine strategies. This hands-on experience offers the opportunity to contribute to personalized cancer treatment and make a meaningful impact on patient outcomes in a highly collaborative and innovative setting.
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Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees