Data Scientist Submission Data And Content Generation & Reuse (Aidcg) - Pharma R&D (Madrid)

Data Scientist Submission Data And Content Generation & Reuse (Aidcg) - Pharma R&D (Madrid)

11 ago
|
Roche
|
Madrid

11 ago

Roche

Madrid

Remoto: Trabajo híbrido

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 / Beneficios • 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 (LangChain, LangGraph, AWS AgentCore, 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 • integral impact in healthcare • equal opportunity employer

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

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