Head, R&D Automation Platform

About the role

Takeda Development Center Americas, Inc. is seeking a Head, R&D Automation Platform.

Responsibilities

• Lead the Research and Development data automation efforts to support Takeda R&D's vision to create a development engine and ecosystem that provides optimal clinical data control and quality in a predictable, automated & cost-effective way.
• In collaboration with the system and architecture team, drive decisions on end-to-end systems selection & implementation, process improvement and data standards opportunities to ensure and optimize the use of automation and AI/ML.
• Show influential strategic, execution and delivery leadership both within Takeda and outside of Takeda with vendors and partners.
• Oversee in-house built, deployment and maintenance of automated tools, scripts, and programs to increase management speed and quality of clinical trial data.
• Provide strategic vision for long-term delivery innovation.
• Partners with relevant stakeholders within the global data program to define priority use cases and set up execution plan.
• Develop test & deploy timeline for top priority use cases.
• Select vendors (when available), develop & test prototypes.
• Create operationalization & roll-out roadmap for prototyped use cases, including key activities, milestones, requirements for handing off integration to adjacent functions.
• Supports executive leadership to achieve the vision and direction for the global data program.
• Reports on progress of projects, issues/plans, and critical path schedules to executive leadership.
• Visibly engages across the organization to ensure transformational impact.
• Up to 25% domestic travel to meet stakeholders for R&D Engagement week.
• Up to 75% remote work allowed.

Requirements

• Master’s degree in Computer Science, Medical Informatics, Analytics, Bioinformatics, or related field, plus 11 years of related experience.
• Prior experience must include: lead enterprise-wide automation initiatives using Robotic Process Automation, Intelligent Document Processing, and supervised machine learning techniques;
• Define and manage product strategy, scope, and release roadmap for automation and data science platforms exceeding $10M in annual operating budgets;
• Manage global product and engineering teams to deliver software automation tools for data capture, processing, and reporting in clinical and safety domains;
• Lead interdisciplinary teams to develop and deploy data analytics platforms for healthcare programs involving clinical or pharmacovigilance data.

Qualifications

• Not specified.

Skills

• Not specified.

Benefits

• Not specified.

Pay

$220,210 to $333,190 per year.

Schedule

Full time.