Associate Director, AI and Data Scientist

Hands-on technical leadership position focused on applying AI and data science in the context of Pharma R&D operational processes towards AI transformation. The position involves developing AI solutions, conducting feasibility research, and providing architectural guidance across cross-functional teams.

Key Responsibilities

• Developing AI product strategy and roadmaps aligned with business objectives
• Experimenting with and training AI/ML models for pharmaceutical business problems
• Building generative AI solutions including prompt engineering and LLM fine-tuning
• Conducting proof-of-concept initiatives for advanced AI applications in drug development
• Designing agentic AI systems with perception, planning, and reasoning capabilities
• Leading cross-functional collaboration among data scientists, engineers, and business stakeholders
• Ensuring responsible AI implementation with privacy and regulatory compliance focus
• Promoting reusable AI components across business functions

Required Qualifications

• Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred)
• Deep expertise in data engineering, generative AI, and machine learning
• Proven production-level experience with LLM and Gen-AI applications
• Strong pharmaceutical or biotech industry background
• Familiarity with platforms like Dataiku, Snowflake, or AWS SageMaker
• Excellent stakeholder communication abilities