Head of Methods & AI Integration

About the role

The Head of Methods & AI Integration is a senior leadership role within R&D Data and Quantitative Sciences (DQS), reporting to the Head of DQS. This role sits at the intersection of methodological innovation, AI/ML and enterprise-scale deployment within DQS.

Responsibilities

• Defining, integrating, and scaling advanced data & quantitative science and AI/ML methodologies into decision-grade capabilities across R&D
• Embedding methodological innovation into clinical development workflows, governance, and decision-making rather than delivering isolated pilots
• Owning the end-to-end lifecycle from innovation to enterprise adoption, transforming fragmented AI and methodological advances into standardized, reusable, regulator-ready capabilities that materially improve decision quality, speed, and development outcomes
• Acting as the critical bridge between innovation, methods, and execution, enabling DQS to deliver a scalable quantitative decision-making backbone across R&D
• Positioning DQS as a global leader in AI-enabled clinical development and decision science through internal enablement and external engagement with regulators, academia, and consortia

Requirements

• PhD in Statistics, Data Science, or other quantitative field with ~15+ years of experience, including extensive leadership in quantitative sciences in pharma/biotech and in AI/ML or advanced analytics in regulated environments
• MS in Statistics, Data Science, or other quantitative field with ~18+ years of equivalent experience, with a proven track record of translating innovation into enterprise-scale capabilities and driving cross-functional transformation across R&D
• Deep expertise in data and quantitative science methodology and in AI/ML and modern analytic approaches, with the technical authority to set and drive functional methods strategy across R&D
• Experience owning accountability for methodology decision-making — selecting, qualifying, and standardizing methods that optimize the likelihood of drug R&D success

Qualifications

• Strong command of model validation, governance, and lifecycle management, ensuring methods and AI capabilities are reproducible, auditable, and fit for regulatory purpose at scale across R&D
• The capability to establish external networks and lead strategic DQS and R&D collaborations across industry, government, regulators, and academia to advance acceptance of AI-driven approaches
• Operate with an enterprise mindset, focused on scaling impact rather than isolated innovation
• Create and develop complex, multi-functional methods and AI strategy and mobilize organizations across R&D to adopt it
• Bridge science, technology, and business decision-making, and influence across global, matrixed organizations
• Act as a strong change agent and decision maker driving AI-enabled transformation across R&D

Skills

• Technical authority to set and drive functional methods strategy across R&D
• Ability to identify and create the technical and methodological strategic vision and implement long-term innovation aligned with global regulatory and payer expectations, GxP environments, and trends
• Strong command of model validation, governance, and lifecycle management, ensuring methods and AI capabilities are reproducible, auditable, and fit for regulatory purpose at scale across R&D
• Capability to establish external networks and lead strategic DQS and R&D collaborations across industry, government, regulators, and academia to advance acceptance of AI-driven approaches
• Operate with an enterprise mindset, focused on scaling impact rather than isolated innovation
• Create and develop complex, multi-functional methods and AI strategy and mobilize organizations across R&D to adopt it
• Bridge science, technology, and business decision-making, and influence across global, matrixed organizations
• Act as a strong change agent and decision maker driving AI-enabled transformation across R&D

Benefits

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range : $259,000.00 - $407,000.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

Pay

For Location: Boston, MA U.S. Base Salary Range : $259,000.00 - $407,000.00

Schedule

Full time