Experteer Overview
In this role, you will architect ML and GenAI-driven pipelines to optimize global clinical operations, including enrollment forecasting, cost estimation, and site selection. You will work with cross-functional teams to translate complex data into actionable insights that shape trial strategies. You will lead advanced modelling efforts and mentor colleagues, contributing to Ju0026amp;J Innovative Medicine’s mission to accelerate health breakthroughs. This is a rare chance to impact trial performance at scale using cutting-edge AI in a global, collaborative setting.

Compensaciones / Ventajas
• Design and deploy ML, multi-objective optimization, and GenAI solutions for clinical trial operations
• Build ML predictive models and optimization engines using operational, real-world, and cost data to forecast outcomes and optimize scenarios
• Adapt large language models for information extraction and analytics on trial protocols, data harmonization, activity scheduling, and eligibility evaluation




• Run stochastic enrollment simulations to forecast enrollment and study completion
• Communicate technical methods and results clearly to diverse stakeholders to inform decisions
• Coach and train junior colleagues on techniques, processes, and responsibilities

Responsabilidades
• Ph.D. in a quantitative discipline
• 5+ years of industry experience delivering data science projects with ML, optimization, NLP, and GenAI
• Hands-on experience with multi-modal ML, time-series forecasting, and stochastic simulations
• Experience building multi-objective optimization engines using evolutionary algorithms, RL, or MILP
• Proficiency with Python and SQL; experience with LLM tools and optimization/ML libraries
• Familiarity with clinical operational data, RWD, EHR, claims, and financial data
• Proficiency in MLOps (MLflow, Kedro); CI/CD and DevOps tooling

Requisitos principales
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📌 Principal Scientist Data Science (Barcelona)
🏢 Johnson u0026 Johnson
📍 Barcelona