Evidence Generation Manager

Work collaboratively with local medical and cross-functional team members to develop strategic RWE plans for priority pipeline and portfolio assets, that are aligned with brand strategies, the Takeda global integrated Evidence Plan (iEP), and external stakeholders’ evidence needs

Design and Implement non-interventional studies that are aligned to local strategic plans and external stakeholder needs, leading study teams from study concept through to completion:

Contribute methodological and strategic expertise to study design, concept & protocol development, incorporating innovative study designs and technological innovations, as applicable, (ex. Natural Language Processing (NLP, AI), synthetic data)

Liaise with local, regional and global partners to manage the review and approval of concepts and protocols, including attending global review meetings

Contribute to publications and manage the publication process

Lead vendor/contract research organization (CRO) selection and oversight, ensuring data integrity and quality, and compliance with internal policies and applicable regulations – while incorporating technological innovations to increase efficiency, if applicable.

Identify and Engage in Strategic Scientific Partnerships with external research partners

Contribute to Evidence Generation operational excellence by developing and implementing processes and technology tools to improve effectiveness and efficiency, and support best practices.

Contribute to internal education and training to build knowledge & skills for RWE capabilities within Takeda

Strategic; ability to create strategic RWE plans in alignment with brand strategy and external stakeholders’ evidence needs.

Strong verbal and written communication skills.

Ability to influence without authority; ability to build strong collaborative relationships with internal and external partners.

Proficiency related to innovative tools used in Evidence Generation, such as Natural Language Processing (NLP), synthetic data, AI algorithms, cloud-based data platforms and data engineering concepts

Subject matter expertise on different types of RWD studies, appropriate RWD study design methodology for the research question and analytic methods, including new innovative study designs and AI-enabled options for extracting RW health data

strong understanding of evidence requirements from a regulatory and heath technology assessment (HTA) / payer perspective throughout a product lifecycle, and how to translate those stakeholder needs into real-world evidence initiatives.

Knowledge of private and public real-world data (RWD) sources in Canada, and how to effectively access those data sources; familiarity with governance and privacy guidelines and ethical considerations for data access.

Knowledge of relevant Canadian CROs/vendors for evidence generation projects; proven experience in vendor evaluation and oversight.

Dedication to leading by example through intentional skill development, experimentation and fostering a culture of digital curiosity within the organization.

Proficiency in leveraging digital tools, platforms, Artificial Intelligence (AI) and other technologies

Understanding of cybersecurity threats and privacy and security requirements and best practices to protect sensitive information and systems.

Prior experience in driving digital transformation initiatives, showcasing a strategic mindset towards technology innovation and integration with daily work practices.

Experience using R, Python, STATA, Databricks, or other programming and analytics platforms is preferred.

Minimum requirement is a Bachelor Degree in a science-related field with a strong preference for Masters in Health…