Principal Data Scientist

Role: Principal Data Scientist leading AI and data science platform development within biopharma, focusing on clinical research and trial optimization. Responsibilities: develop scalable AI tools, collaborate with clinical scientists, biostatisticians, and data managers to design and deploy data-driven solutions; implement robust, production-grade software and infrastructure on AWS; communicate insights effectively. Requirements: Bachelor's in CS, Data Science, Statistics, or related; 12+ years in data science with significant software development experience using Python or R; expertise in machine learning, deep learning (e.g., TensorFlow, PyTorch); experience deploying models in production; strong analytical and software engineering skills, including CI/CD, containerization (Docker). Preferred: Master's or Ph.D. in relevant fields; cloud architecture experience (AWS, GCP, Azure); Big Language Models (LLMs), GenAI experience; proven ability to develop and optimize analytics pipelines. HighValue: biopharma clinical research, AI-powered data platforms, production ML deployment, scalable cloud infrastructure, cross-functional collaboration in clinical development. WorkSetup: remote connection week.