Senior AI Scientist: Real-World Data & Generative AI

Roche

Basel

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Roche in Basel, Switzerland, seeks a scientist to fuse real-world data analytics with AI to advance drug development. The role sits in the Real World Data Insights team within Computational Medicine, combining epidemiology, data science, and software engineering to deliver robust, scalable solutions.

You will work with EHR, claims, registries, and molecular data, build AI-enabled tools and agentic workflows, and collaborate across scientific and engineering teams to translate analytical needs

Qualifikationen

  • PhD in a quantitative field with 2+ years in pharmaceutical/biotech R&D or related setting.
  • Hands-on with real-world healthcare data (EHR/claims/registries) and data quality assessment.
  • Experience applying statistical/ML methods to healthcare or life sciences data.

Aufgaben

  • Design and execute high-impact real-world data analyses using diverse data sources.
  • Develop AI-enabled tools and agentic workflows to automate analytical tasks.
  • Collaborate with scientists, data engineers, and computational experts to ensure robust, scalable solutions.
  • Translate analytical needs into fit-for-purpose scientific and technical strategies.

Kenntnisse

RWD analytics
Statistical methods
Machine learning
Communication
Collaboration
Growth mindset
AI/Agentic workflows

Ausbildung

PhD in Epidemiology/Biostatistics/Data Science/Computational Biology

Tools

Python
APIs
Cloud platforms
Containers

Jobbeschreibung

Roche in Basel, Switzerland, seeks a scientist to fuse real-world data analytics with AI to advance drug development. The role sits in the Real World Data Insights team within Computational Medicine, combining epidemiology, data science, and software engineering to deliver robust, scalable solutions.

You will work with EHR, claims, registries, and molecular data, build AI-enabled tools and agentic workflows, and collaborate across scientific and engineering teams to translate analytical needs

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