Associate Director, AI & Data Science for Pharma R&D

Otsuka Pharmaceutical Co., Ltd; United States; On-site; USD 169,000 - 253,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) match

Paid holidays

Paid leave programs

Tuition reimbursement

Student loan assistance

Flexible time off

Job summary

Otsuka Pharmaceutical Co., Ltd is seeking an Associate Director, AI and Data Scientist to lead hands-on AI initiatives across Pharma R&D operations. You will shape the product vision for AI-driven solutions and work with cross-functional teams to accelerate drug development through advanced data analytics.

The role requires deep AI/ML expertise, strong governance, and the ability to translate business needs into scalable AI capabilities, including GenAI, LLMs, and data platforms.

Qualifications

• Advanced degree with a focus on AI/ML and data science.
• Experience architecting and delivering AI/ML use cases in pharma or life sciences.
• Strong communication and stakeholder management skills.

Responsibilities

• Lead AI product strategy and develop roadmaps for AI-driven solutions.
• Experiment, train, and deploy enterprise AI models for pharma processes.
• Guide cross-functional teams including IT, data engineers, and business partners.
• Ensure responsible AI practices and compliance across initiatives.

Skills

AI/ML expertise

Data science leadership

Cross-functional collaboration

Strategic thinking

Education

Master's degree in Data Science / CS / related

PhD preferred

Tools

Dataiku

Snowflake

AWS SageMaker

LLM platforms

Job description

Otsuka Pharmaceutical Co., Ltd is seeking an Associate Director, AI and Data Scientist to lead hands-on AI initiatives across Pharma R&D operations. You will shape the product vision for AI-driven solutions and work with cross-functional teams to accelerate drug development through advanced data analytics.

The role requires deep AI/ML expertise, strong governance, and the ability to translate business needs into scalable AI capabilities, including GenAI, LLMs, and data platforms.