Director, Real-World Evidence Data Sciences Lead

About This Role

This role involves managing the acquisition, processing, and curation of non-Takeda sourced observational Real-World Data (RWD) with a focus on supporting diverse analyses across Research & Development. The Director will lead enterprise Real-World Evidence (RWE) strategies and strengthen partnerships with stakeholders to drive data-driven business decisions. The position requires deep expertise in RWE data management and the ability to coordinate data transfers while ensuring quality standards within a global ecosystem.

Responsibilities

• Manage the acquisition, processing, and curation of non-Takeda sourced observational Real-World Data (RWD)
• Manage a wide portfolio of data types, supporting diverse analyses across Research & Development (R&D)
• Ensure data transfers follow quality standards and coordinate with R&D stakeholders on acquisitions
• Conduct feasibility and exploratory analyses of RWD with observational data sciences colleagues
• Collaborate with stakeholders including epidemiologists, translational biologists, biomarker scientists, and biostatisticians
• Develop and implement enterprise RWE strategies to efficiently address business needs
• Collaborate internally and externally to address RWE needs and advise on unmet data needs
• Strengthen partnerships with stakeholders within the organization and externally with platform vendors and regulatory bodies (e.g., FDA)
• Act as a knowledge developer and repository around observational studies, FDA policies, and publications related to RWE
• Be at the forefront of advanced technologies like Gen-AI/agentic AI and their applications of Real-World Data
• Define and implement data transfer, quality control and curation processes, and maintain the data quality pipeline
• Develop systems, processes and tools (pipelines) which impact enterprise use of data assets and confirm data quality
• Lead global organizational RWD transparency and education by delivering learning modules

Requirements

• Advanced degree in Computer Science, Data Science, Life Sciences, Epidemiology, Bioinformatics, Clinical Informatics or similar technical fields
• 5-8 years relevant work experience with a focus on clinical, observational or RWE data management ingestion, curation, and analysis
• Experience establishing and managing relationships with external vendors and organizations for the acquisition of observational RWD
• Deep understanding of drug development and biopharmaceutical industry, with emphasis on role of observational RWE data
• Experience using hardware and software used to curate, process and analyze data
• Experience with scripting/coding languages (R, Python, Unix scripting, etc.)
• Knowledge of data analysis and trending and familiarity with statistics
• Experience developing and implementing process and data standards
• Strong project management skills
• Ability to effectively lead, collaborate and communicate across diverse group of observational RWE data stakeholders
• High attention to detail including proven ability to manage multiple, competing priorities
• Demonstrated ability to establish and manage effective business relationships with internal and external stakeholders

Qualifications

• Advanced degree in Computer Science, Data Science, Life Sciences, Epidemiology, Bioinformatics, Clinical Informatics or similar technical fields
• 5-8 years relevant work experience with a focus on clinical, observational or RWE data management ingestion, curation, and analysis

Skills

* Required skills

Benefits