Head, Data & Quantitative Sciences DD&T

Scorpion Therapeutics; Boston (MA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Location: Cambridge, MA

Job summary

Takeda in Cambridge, MA seeks a Head of DQS DD&T to lead data, AI, and technology strategy for R&D Data & Quantitative Sciences. You will partner with DQS leadership to align a technology roadmap with pipeline decision-making, trial design, and regulatory processes, while overseeing the end-to-end technology portfolio, ensuring compliance and enabling scientists with data platforms and AI tools.

You will lead a global team, manage budgets and external vendors, and promote a culture of

Qualifications

• 12+ years in pharma/biotech R&D tech with leadership and budgets.
• Partner with biometrics, data science, and scientific stakeholders.
• Deep knowledge of GxP, validation, and data integrity.
• Familiar with regulatory submission workflows and AI in regulated settings.

Responsibilities

• Partner with DQS leadership to develop and execute a technology roadmap aligned with pipeline decision-making, trial design, and regulatory processes.
• Oversee the end-to-end technology portfolio ensuring reliability, validation, and compliance.
• Drive transformation applying AI and automation across clinical data workflows.
• Enable scientists with data platforms, AI tools, and model deployment capabilities.
• Lead a global team, manage budgets and external vendors.
• Promote a culture of innovation, agility, and inspection readiness.

Skills

Leadership experience

Budget management

Stakeholder collaboration

AI in regulated settings

Data platforms & analytics

Global delivery

Education

Bachelor's degree

Tools

Statistical environments

Job description

Role: Head of DQS DD&T at Takeda, leading the data, AI, and technology strategy for the R&D Data & Quantitative Sciences function.

Responsibilities

• partner with DQS leadership to develop and execute a technology roadmap aligned with pipeline decision-making, trial design, and regulatory processes
• oversee the end-to-end technology portfolio ensuring reliability, validation, and compliance
• drive transformation applying AI and automation across clinical data workflows
• enable scientists with data platforms, AI tools, and model deployment capabilities
• lead a global team, manage budgets and external vendors
• promote a culture of innovation, agility, and inspection readiness.

Requirements

• Bachelor's degree
• 12+ years in pharma/biotech R&D tech, with leadership experience managing teams and budgets
• proven ability to partner with biometrics, data science, and scientific stakeholders
• deep knowledge of GxP, validation, data integrity
• familiarity with statistical environments, regulatory submission workflows, AI in regulated settings.

Preferred

• hands-on biostatistics or data science background
• experience with AI, machine learning, automation, and global delivery models.

High Value

• strategic role shaping AI-driven transformation within regulated clinical and development workflows, based in Cambridge, MA, hybrid working.