Associate Director, AI Solutions Scientist

🔥 28 minutes ago

🇺🇸 United States – Remote

💵 $169.2k - $253k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

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Otsuka Pharmaceutical Companies (U.S.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

Pharmaceuticals • Healthcare • Biotechnology

Otsuka Pharmaceutical Companies (U. S. ) is a prominent player in the pharmaceutical manufacturing industry, dedicated to creating innovative products for better health worldwide. The company comprises two main entities: Otsuka America Pharmaceutical, Inc. (OAPI), which is focused on commercializing Otsuka-discovered and in-licensed products in North America, and Otsuka Pharmaceutical Development & Commercialization, Inc. (OPDC), which specializes in the clinical development and global registration of innovative healthcare solutions, particularly in the field of neuroscience.

📋 Description

• Architect and develop modern AI solutions, use cases, and applications • Conduct research to assess AI solution feasibility • Provide architectural and design guidance on AI, data science, processes, and workflows • Implement state-of-the-art AI solutions for R&D and Corporate Functions • Develop multi-agent orchestration, generative AI applications, and reusable AI solution capabilities • Keep current with evolving AI technologies and guide implementation across projects and teams • Design, develop, and implement robust AI solutions with Data Science, AI Scientists, AI engineers, IT, and life sciences subject matter experts • Develop AI product visions and roadmaps aligned with business objectives, technology, and market trends • Use data analysis and KPIs to monitor product performance and evaluate AI model business value • Build AI solutions aligned with responsible AI, privacy by design, and regulatory compliance • Experiment with, develop, train, fine-tune, validate, and evaluate AI/ML models • Design, implement, and deploy agentic AI systems using perception, planning, reasoning, orchestration, execution, and reflection loops • Oversee AI, ML, LLM, and agent lifecycle management and revisions in production • Guide AI ecosystem capabilities, platforms, frameworks, architecture, and new capability development • Guide developers and provide oversight on AI concepts and implementation • Lead or assist with AI/ML use case reviews and provide subject-matter expertise and execution support • Identify and resolve issues during development and production support of data analytics and AI applications • Develop and promote reusable data and AI components across business functions and the AI ecosystem • Lead cross-functional teams involving technical, semi-technical, and business stakeholders • Manage stakeholders by communicating AI progress, outcomes, impact, limitations, risks, and expectations • Translate between technical AI teams and non-technical business stakeholders • Lead AI technology adoption and change-management efforts • Partner with internal functional areas and external partners to develop AI/ML capabilities • Collaborate with data scientists, IT, cloud architects, and platform teams to align solutions with enterprise architecture and compliance • Collaborate with legal, privacy, and ethics teams on algorithmic bias, fairness, transparency, and data privacy • Adapt to experimentation and iteration cycles in AI product development • Focus on intelligence and context that drive product evolution

🎯 Requirements

• Master's degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related discipline focused on advanced and modern Data Science, AI, and machine learning • PhD preferred • Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies • Deep expertise across data engineering, data representation, generative AI, artificial intelligence, and machine learning techniques • Experience architecting and delivering AI/ML use cases • Experience in software/product engineering • Deep understanding of AI and machine learning and its applications in Pharma • Experience with Dataiku Data Science Studio, AWS SageMaker, Snowflake, or other data science platforms • Experience with machine learning and AI technologies and their integration with data engineering pipelines • Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP) • Experience in AI/ML-based software/product engineering • Familiarity with test and validation principles and GxP validation • Experience architecting, building, and maintaining large-scale data and AI solutions in scientific, regulated, or research-heavy environments • Strong experience in pharmaceutical, biotech, or life sciences industry, particularly drug development, clinical trials, or R&D, highly desirable • Proven track record implementing and deploying proof-of-concept and production-grade generative AI, AI/ML, and large language model applications • Understanding of life sciences R&D business processes • Experience with claims, clinical trial, regulatory, quality, and other life sciences operations datasets • Understanding of data collection, governance, and structuring problems for better AI outcomes • Strong internal and cross-functional collaboration and project management skills • Excellent communication and stakeholder management skills • Highly self-motivated and able to work independently and collaboratively • Creative problem solving using responsible AI and other technologies

🏖️ Benefits

• Comprehensive medical, dental, vision, and prescription drug coverage • Company-provided basic life insurance • Accidental death and dismemberment insurance • Short-term and long-term disability insurance • Tuition reimbursement • Student loan assistance • Generous 401(k) match • Flexible time off • Paid holidays • Paid leave programs • Other company-provided benefits • Incentive opportunity