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

Otsuka Pharmaceutical Co., Ltd; Princeton (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision,

Prescription drug coverage

401(k) match

Tuition reimbursement

Paid holidays

Job summary

Otsuka Pharmaceutical Co., Ltd is seeking an Associate Director, AI and Data Scientist to lead hands-on AI/data science efforts in Pharma R&D operations. The role focuses on developing AI/ML models, Gen AI capabilities, and data-driven decision frameworks to transform business processes across R&D and corporate functions.

The candidate will design architecture, guide cross-functional teams, and stay current with evolving AI technologies and governance standards to enable scalable, responsible AI

Qualifications

• Masters degree in Data Science or related field; PhD preferred.
• Strong AI/ML methods and real-world data experience.
• Experience delivering AI/ML use cases in pharma/biotech.
• Familiar with SDLC and data science lifecycles (CRISP).

Responsibilities

• Develop AI product strategy and roadmaps for AI-driven solutions.
• Experiment, train, and fine-tune AI models for business problems.
• Lead or participate in PoC initiatives for Gen AI applications.
• Use KPIs to monitor AI/ML model performance and business value.
• Guide AI ecosystem capabilities and architecture with cross-functional teams.
• Lead cross-functional teams including data scientists, engineers, and business stakeholders.

Skills

AI/ML expertise

Gen AI

Data science

Cross-functional leadership

Stakeholder management

MLOps/LLMOps

Education

Masters degree in Data Science/related field

Tools

Dataiku Data Science Studio

Snowflake

AWS SageMaker

Job description

Otsuka Pharmaceutical Co., Ltd is seeking an Associate Director, AI and Data Scientist to lead hands-on AI/data science efforts in Pharma R&D operations. The role focuses on developing AI/ML models, Gen AI capabilities, and data-driven decision frameworks to transform business processes across R&D and corporate functions.

The candidate will design architecture, guide cross-functional teams, and stay current with evolving AI technologies and governance standards to enable scalable, responsible AI