Haystack
← Back to Jobs
Full time
Other
TP

Head of Methods & AI Integration

Takeda PharmaceuticalBoston, Massachusetts🇺🇸United StatesPosted 14 Sept 2026

Why This Role Stands Out

This leadership role at Takeda Pharmaceutical offers a unique opportunity to shape the future of AI integration in drug discovery, impacting patient outcomes globally. You will thrive here if you are a strategic thinker with expertise in advanced analytics and a passion for building and mentoring high-performing teams within a collaborative, hybrid work environment. Take the next step in your career and apply to lead groundbreaking innovation.

Quick Overview

Seniority
Leader
Employment type
Full Time
Work mode
Hybrid
Location
Boston, Massachusetts, United States
GCPAWSMachine LearningAzureComplianceContinuous ImprovementDeep LearningPythonRegulatory Compliance

Job Description

Takeda Pharmaceutical seeks a Head of Methods & AI Integration to lead development and deployment of advanced analytical, statistical, and AI/ML methods across our R&D portfolio. You will define the strategy for AI integration in drug discovery, clinical development, and real-world evidence, partnering with biostatistics, data science, and therapeutic area leaders. Responsibilities include building and mentoring a high-performing methods team, setting modeling and data standards, evaluating emerging technologies, and ensuring compliant, ethical use of AI to accelerate innovation and improve patient outcomes worldwide.

Responsibilities

  • Define and lead AI and advanced methods strategy across R&D functions
  • Oversee development, validation, and deployment of statistical and AI/ML models
  • Partner with biostatistics, clinical, and data science teams to design data-driven studies
  • Establish modeling, data quality, and governance standards for AI use
  • Build, mentor, and manage a high-performing quantitative and AI methods team
  • Evaluate and implement emerging AI/ML and analytics technologies
  • Ensure ethical, regulatory-compliant use of AI in drug development
  • Collaborate with global stakeholders to align methods with portfolio priorities
  • Communicate complex analytical insights to scientific and executive leaders
  • Drive continuous improvement in analytics capabilities to accelerate patient impact

Required Skills

  • Machine learning and deep learning
  • Biostatistics and experimental design
  • Bayesian and advanced statistical modeling
  • Real-world data and real-world evidence analytics
  • Cloud data platforms (e.g., AWS, Azure, GCP)
  • Programming in Python and/or RMLOps and model lifecycle management
  • Data governance and regulatory compliance for AILeadership of technical and scientific teams
  • Scientific communication to non-technical stakeholders

Similar jobs