The Director, Outcomes Research and Data Science (ORDS) is a research and customer-facing position, functioning within Takeda’s U.S. Medical, Value and Evidence Generation Team, and contributing to the successful development and commercialization of new and innovative peri-approval and marketed products in the U.S. You will lead the development and implementation of value-based agreements (VBAs) and other medical partnerships with external stakeholders, collaborating cross-functionally with teams across market access, commercial accounts, medical affairs (HEOR and strategy), data science, contracts and pricing, government reporting, and finance to design, execute, and evaluate VBA strategies. This is a hybrid role based in Cambridge, MA. You will specifically: Assist with the evaluation of value-based performance metrics leading to value-based contracting options across our portfolio. Responsible for interfacing with customers on the data framework of contracts and for conducting the analysis output to inform final contractual obligation. Contribute to the development and execution of U.S. Medical strategies to elucidate unmet clinical, economic, and patient-centered needs and product value. Executing studies in the exploratory data analysis environment that will be utilized to direct product scientific and value strategies and inform outcomes research studies, pipeline products, and business development opportunities Leverage advanced analytics, artificial intelligence (AI), and digital tools to design, execute, and interpret value-based agreement forecasts and health economic and outcomes research studies. (i.e. DataRobot, H20.ai, Scikit-learn, Co-pilot) Champion the adoption of digital innovation and AI-driven methodologies that improve research efficiency, data quality, and stakeholder engagement. Contribute to the development of value propositions that differentiate assigned products for payers, policymakers, healthcare providers, consumers, and other stakeholders. Lead multiple work streams relating to Outcomes Research business areas (e.g., health economic modeling, value communications, observational research, payer partnerships) to a high standard.