[Hiring] Associate Director, AI Solutions Scientist @Otsuka Pharmaceutical Co., Ltd.

Role Description

The Associate Director, AI Solutions Scientist is a hands-on experienced technical leader who specializes in architecting and developing modern AI solutions, use-cases, and applications as well as efficiently conducting research on feasibility of such solutions. While keenly focusing on business utility, and how AI transforms processes, the role will provide architectural and design guidance on the use of AI and data science, new processes and workflows to cross-functional teams and at times implementing state-of-the-art AI solutions for business processes within R&D and across Corporate Functions.

The AI Solutions Scientist will:

• Develop leading-edge technical solutions such as multi-agent orchestration, pragmatic uses of generative AI, and robust reusable AI solution capabilities.
• Work with cross-functional teams including life sciences subject matter experts and technical development teams.
• Keep current with evolving technologies to guide better implementation of projects.
• Partner with cross-functional teams such as IT to ensure efficient and effective solutions are developed.

Qualifications

• Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.
• Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques.
• Masters degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related discipline; PhD preferred.
• Experience in software/product engineering with a deep understanding of AI and Machine Learning applications in Pharma.
• Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, or other platforms.
• Excellent communication and stakeholder management skills.
• Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP).
• Experience in architecting, building, and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.
• Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly in drug development and clinical trials.
• Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.

Requirements

• Strong internal and cross-functional collaboration, project management skills.
• Understanding of life sciences R&D business processes.
• Experience working with relevant life sciences datasets such as claims, clinical trial data, regulatory data, quality data, and other datasets.
• Understanding of data's role in AI, including data collection, governance, and structuring problems for better AI outcomes.

Benefits

• Comprehensive medical, dental, vision, prescription drug coverage.
• Company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance.
• Tuition reimbursement and student loan assistance.
• A generous 401(k) match.
• Flexible time off, paid holidays, and paid leave programs.
• Other company provided benefits.