Associate Director, Data Science, AI Solutions

• Build, deploy, and maintain advanced AI applications, including custom RAG pipelines and agentic systems
• Develop traditional analytics solutions such as forecasts, simulations, and optimizations for R&D quality challenges
• Monitor, enhance, and scale operational analytics systems in enterprise platforms such as Dataiku and Posit Workbench
• Collaborate with the GxP AI Governance Program on regulatory frameworks, validation playbooks, and monitoring protocols
• Explain AI algorithms, models, and limitations to non-technical stakeholders and leadership
• Partner with business leaders to identify challenges and propose high-value data science and AI use cases
• Learn business processes and stakeholder needs to drive meaningful outcomes
• Educate and upskill QA team members on modern technology stacks, LLMs, and data literacy
• Represent the company in cross-functional forums such as IMPALA

• BS/BA degree in a relevant area
• 5+ years of experience in the pharmaceutical, biotech, or technology-related industry
• Minimum 5 years of professional experience using Python, R, and advanced SQL to design and deploy machine learning, forecasting, or optimization models
• Hands-on experience developing custom RAG architectures
• Experience working with LLM APIs
• Core MLOps experience, including Git/version control, monitoring, and model maintenance
• Proficiency designing user-friendly dashboards using Power BI or Spotfire
• Foundational understanding of ETL pipelines and data structures
• Familiarity with hosting and deploying AI solutions or agentic pipelines in AWS, Azure, or GCP
• Prior experience in a regulated pharmaceutical GxP environment
• Exposure to software validation or AI governance frameworks
• Exceptional communication skills and ability to distill complex technical terminology into actionable insights
• Experience supporting cross-functional teams in a global, matrixed organization
• Interest in emerging technologies, including generative AI

Demonstrates expertise in building and deploying advanced AI applications, including custom RAG architectures and MLOps practices. Proficient in using Python, R, and SQL for machine learning and analytics solutions within regulated environments.

• Python Programming
• R Programming
• Advanced SQL
• MLOps Experience
• GxP Compliance

• Machine Learning
• Forecasting Models
• Optimization Models
• Custom RAG Architectures
• Data Analytics Solutions
• ETL Pipelines
• User-Friendly Dashboard Design

• Exceptional Communication
• Stakeholder Engagement
• Cross-Functional Collaboration

• Pharmaceutical Industry
• Biotech Industry
• AI Governance
• Regulatory Frameworks
• Software Validation

• Dataiku
• Posit Workbench
• Power BI
• Spotfire
• AWS
• Azure
• GCP