AI & Data Science Leader for Pharma R&D Transformation

Otsuka Pharmaceutical Co., Ltd; Princeton, Northern (NJ, KY); Hybrid; USD 169,000 - 253,000; Full time

Benefits offered by this job

Comprehensive medical benefits

Dental & vision coverage

401(k) match

Paid holidays and leave

Job summary

Otsuka Pharmaceutical Co., Ltd is seeking an Associate Director, AI and Data Scientist to lead hands-on AI/DS initiatives in Pharma R&D operations. You will architect AI solutions, guide cross‑functional teams including data engineers and AI platform engineers, and drive AI transformation across corporate functions.

The role emphasizes developing scalable AI components, evaluating LLMs, and delivering enterprise-grade AI systems with responsible AI and regulatory alignment.

Qualifications

• Masters degree in Data Science, Computer Science, or related field with focus on AI/ML.
• PhD is preferred for advanced research and leadership.
• Experience delivering AI/ML use cases in pharma or life sciences beneficial.

Responsibilities

• Develop an AI product strategy and roadmaps aligned with business objectives.
• Experiment with and deploy high-quality AI/ML models.
• Lead PoC initiatives for new AI applications and business cases.
• Apply generative AI capabilities and prompt engineering in real-world workflows.
• Ensure responsible AI, privacy by design, and regulatory compliance.
• Drive data-driven decisions using KPIs and analytics across R&D operations.

Skills

AI strategy

Data science

Gen AI

MLOps

Stakeholder management

Education

Masters in data science or related field

PhD preferred

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/DS initiatives in Pharma R&D operations. You will architect AI solutions, guide cross‑functional teams including data engineers and AI platform engineers, and drive AI transformation across corporate functions.

The role emphasizes developing scalable AI components, evaluating LLMs, and delivering enterprise-grade AI systems with responsible AI and regulatory alignment.