Descripción del trabajo Experteer Overview As a Data Scientist at Roche, you will lead and deploy data-driven solutions that accelerate healthcare innovation.

You’ll balance hands-on AI development with strategic content leadership to modernize clinical data and submission assets.

You work across cross-functional teams to translate analytics into actionable insights in a regulated, GxP environment.

This role offers hybrid work, with in-office collaboration two days per week, and a chance to contribute to life-changing healthcare outcomes.

Compensaciones / Incentivos * Lead, develop and deploy data-driven solutions from concept to deployment to solve business challenges * Build and optimize AI capabilities and agentic AI workflows in a regulated environment * Independently identify analytical opportunities and solve complex data problems with minimal supervision * Collaborate with business units to translate findings into actionable insights for technical and non-technical stakeholders * Drive medium-sized data science projects that influence key business decisions * Model data and optimize algorithms for large,



complex datasets * Contribute to the team's technical roadmap balancing hands-on work with leadership * Develop tools and automation (e.g., debugging assistants) to streamline clinical programming Responsabilidades * Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related quantitative field * 5+ years of professional experience in data science, predictive modeling, and end-to-end deployment * Advanced Python and R programming skills; familiarity with SAS preferred * Hands-on experience with generative AI and multi-agent frameworks (Lang

Chain, Lang

Graph, AWS Agent

Core, MCP servers) * Strong knowledge of LLMOps and Retrieval-Augmented Generation (RAG) methods * Experience in statistical modeling, ML algorithms, and data visualization * Excellent communication and collaboration skills to explain complex concepts to non-technical partners Requisitos principales * discretionary annual bonus (target 15%) * attractive benefits package * hybrid work model with in-office days * career development opportunities * global impact in healthcare * equal opportunity employer #J-18808-Ljbffr

📌 Data Scientist Submission Data And Content Generation & Reuse (Aidcg) - Pharma R&D (España)
🏢 Roche
📍 España