Manager, Pharmaceutical Product Development GenAI & Data Science
Core
Scientific manager leading GenAI, data science, and engineering initiatives to solve complex challenges in chemical process, biologics, drug product, and analytical development.
Role type
Senior IC scientific manager (GenAI & Data Science)
Builds
Next-generation GenAI, Agentic AI, and Machine Learning capabilities for pharmaceutical product development
Domain
Pharmaceutical product development (Chemical Process, Biologics, Drug Product, Analytical)
Deliverable
production ML models
Required skills
Problem framing, first-principles questioning, navigating ambiguity, AI-enabled decision making, mentoring technical teams, translating GenAI capabilities into scalable products
Preferred skills
Domain understanding of pharmaceutical product development and manufacturing, Agentic AI architectures, AI governance and responsible AI frameworks, hybrid mechanistic-AI approaches
Technologies
PySpark, Python, TensorFlow, XGBoost, LightGBM, LangChain, LangGraph, MLflow, AWS, Databricks, Hugging Face, Vector Databases, Model Serving Frameworks
Responsibilities
Partner with senior scientific leaders to identify AI opportunities, drive development of GenAI and ML capabilities, establish best practices for AI-enabled decision making, influence enterprise modelling strategy, mentor data scientists, translate emerging capabilities into scalable products
Seniority
Senior, hands-on IC with strategic influence