Senior Manager, Analytical AI Clinical Development
Core
Design and deploy machine learning pipelines to optimize clinical trial operations and decision-making in drug development.
Role type
Senior Manager, Analytical AI in Clinical Development
Builds
AI-driven solutions for clinical study design, execution, and real-time decision support
Domain
Biopharmaceuticals / Clinical Development / Data Science
Deliverable
production ML models
Required skills
Machine learning pipeline development, Python, SQL, statistical methods, supervised/unsupervised/reinforcement learning, TensorFlow, PyTorch, scikit-learn, time series forecasting, Monte Carlo simulations, MLOps, CI/CD, Git/GitHub, cloud environments (AWS/Azure), workflow orchestration (Airflow/Dagster)
Preferred skills
Natural Language Processing, Large Language Models, real-world datasets (RWD), bioinformatics/computational biology, Streamlit/Dash/Shiny app development, drug development knowledge, AI product lifecycle management
Technologies
TensorFlow, PyTorch, scikit-learn, AWS, Azure, Airflow, Dagster, Streamlit, Dash, Shiny
Responsibilities
Develop and optimize end-to-end ML pipelines for clinical study design and execution; automate workflows for processing complex clinical datasets; partner with cross-functional teams to co-develop AI-driven solutions; oversee the AI product lifecycle from ideation to monitoring; translate technical insights into actionable strategies for clinical operations
Seniority
Senior, hands-on IC with management responsibilities