Head, R&D Automation Platform

Job Description

Takeda Development Center Americas, Inc. is seeking a Head, R&D Automation Platform. This role leads the Research and Development data automation efforts to support Takeda R&D's vision for an optimal development engine and ecosystem. Key responsibilities include:

• Lead the Research and Development data automation efforts to support Takeda R&D's vision for an optimal development engine and ecosystem.
• 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.

Pay

The estimated salary range reflects an anticipated range for this position. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

Benefits

• Medical, Dental, Vision Insurance
• 401(k) Plan and Company Match
• Short-Term and Long-Term Disability Coverage
• Basic Life Insurance
• Tuition Reimbursement Program
• Paid Volunteer Time Off
• Company Holidays
• Well-being Benefits

Schedule

Full time. Up to 25% domestic travel to meet stakeholders for R&D Engagement week. Up to 75% remote work allowed.

Qualifications

Qualified applicants can apply at . Please reference job # R0182252.

EEO Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.