Associate Director, AI and Data Scientist

🔥 1 minute ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $169.2k - $253k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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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

• Develop AI product visions and roadmaps aligned with business objectives, technology, and market trends • Implement Data Science and AI portfolio objectives and contribute to data and analytics strategies for R&D Operations • Experiment with, develop, train, fine-tune, validate, and evaluate AI/ML models for business problems • Develop and field enterprise AI systems using prompt engineering, embeddings, fine-tuning, LLMs, and generative AI • Conduct proof-of-concept initiatives and develop AI applications to enhance data analytics and accelerate drug development • Use data analysis and KPIs to monitor product performance and guide data-driven decisions • Develop AI solutions using Pharma R&D, drug development, clinical trial, and external healthcare data • Design user-centric AI-enabled products that build trust, drive adoption, and support transformation • Provide technical input on AI ecosystems, platforms, frameworks, architectures, and new capabilities • Guide developers, technical team members, and vendors on AI concepts and implementation • Design, implement, and deploy agentic AI systems using perception, planning, reasoning, orchestration, execution, and reflection loops • Oversee lifecycle management and revisions of AI solutions using MLOps and LLMOps processes and tools • Lead AI technology adoption, enablement, change management, and responsible use processes • Review AI/ML use cases for compliance with guidelines, frameworks, platform components, and responsible AI requirements • Develop reusable data and AI solution components and promote scalable reuse across business functions • Lead cross-functional teams of technical, semi-technical, and business stakeholders • Communicate AI progress, outcomes, impact, limitations, and risks to stakeholders • Partner with internal functional areas and external partners to conceptualize, develop, and co-develop AI/ML capabilities • Collaborate with legal, privacy, and ethics teams on algorithmic bias, fairness, transparency, and data privacy • Adapt to experimentation and iteration cycles while managing ambiguity in AI product development

🎯 Requirements

• Master's degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related discipline with focus on advanced and modern Data Science, including AI and machine learning • 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, AI, and machine learning techniques • Experience architecting and delivering AI/ML use cases • Experience in AI product development using AI, Data Science, and Machine Learning • Deep understanding of AI and Machine Learning and their applications in Pharma • Experience with Dataiku Data Science Studio, Snowflake, AWS SageMaker, or other data science platforms • Familiarity 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) • Awareness of testing and validation approaches related to GxP and non-GxP • Experience in AI and 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 a scientific, regulated, or research-heavy environment • Strong experience within the pharmaceutical, biotech, or life sciences industry, particularly in drug development, clinical trials, or R&D, highly desirable • Proven track record implementing and deploying generative AI and large language model applications in production environments • Experience working with claims, clinical trial, regulatory, quality, and other life sciences operations datasets • Proven track record implementing proof-of-concept and production-grade AI/ML, generative AI, and LLM applications • Understanding of data collection, governance, and structuring problems for better AI outcomes • Excellent communication and stakeholder management skills • Strong internal and cross-functional collaboration and project management skills

🏖️ Benefits

• Incentive opportunity • Comprehensive medical, dental, vision, and prescription drug coverage • Company-provided basic life insurance • Accidental death & 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