Director, Outcomes Research & Data Science

Role Summary

The Director, Outcomes Research and Data Science (ORDS) is a research and customer-facing role within Takeda’s U.S. Medical, Value and Evidence Generation Team. You will lead the development and implementation of value-based agreements (VBAs) and other medical partnerships, collaborating cross-functionally to design, execute, and evaluate VBA strategies. This is a hybrid role based in Cambridge, MA.

Responsibilities

• Assist with the evaluation of value-based performance metrics leading to value-based contracting options across the portfolio, interfacing with customers on the data framework of contracts and conducting the analysis output to inform contractual obligations.
• Contribute to the development and execution of U.S. Medical strategies to elucidate unmet clinical, economic, and patient-centered needs and product value.
• Execute studies in the exploratory data analysis environment 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 VBA forecasts and health economic and outcomes research studies.
• 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 to a high standard.
• Lead the development and testing of VBA concepts and technical specifications across therapeutic areas, ensuring alignment with product value and payer needs.
• Collaborate with cross-functional teams to design VBA frameworks, including technical specifications for data formatting and operationalization.
• Present VBA strategies and performance insights to internal stakeholders and external healthcare payers.
• Forecast VBA outcomes using internal datasets and payer-supplied data to support financial modeling and contract design.
• Evaluate results from previously signed VBAs and maintain performance tracking across the portfolio.
• Assist in drafting VBA-specific sections of rebate contracts and support contract execution.
• Work with external partners and vendors on exploratory analyses to enhance understanding of VBA effectiveness.

Qualifications

• Required: Advanced degree (PhD, PharmD, MPH, MS) in health economics, epidemiology, biostatistics, or related field, with a minimum of 7 years of experience in outcomes research, real-world evidence, or value-based contracting in the pharmaceutical or healthcare industry.
• Required: Expertise in analyzing medical and pharmacy administrative claims data from health care plans and pharmacy benefit managers, and experience with health systems data (e.g., electronic medical records). Experience in value-based agreements is preferred.
• Required: Proven track record of directly managing external customer relationships (health plans, PBMs, and other managed care organizations) with a focus on market access strategy, payer engagement, and cross-functional collaboration to drive real-world evidence initiatives and value-based outcomes.
• Required: Proficiency in statistical software and data visualization tools (SAS, R, Python) with at least 5 years of SAS experience specifically in administrative claims data.
• Required: Demonstrate foundational competency in AI applications relevant to outcomes research and value-based agreements, including the use of AI-enabled analytics and interpreting model outputs to inform strategic decisions.

Skills

• Statistical analysis and data visualization (SAS, R, Python)
• Health economics and outcomes research (HEOR)
• Value-based contracting and payer engagement
• Exploratory data analysis and observational study design
• AI-enabled analytics and interpreting model outputs
• Cross-functional collaboration and stakeholder management

Education

• Advanced degree (PhD, PharmD, MPH, MS) in health economics, epidemiology, biostatistics, or related field

Additional Requirements

• Travel may be required up to 20%.