Senior AI Scientist, Real-World Healthcare Analytics

F. Hoffmann-La Roche AG

Basel

Vor Ort

CHF 140.000 - 200.000

Vollzeit

vor 44 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Roche is seeking a scientist to advance real-world data insights within the Computational Medicine organization. You will design analyses using EHR/claims data, develop AI-enabled tools and agentic workflows, and collaborate with multi-disciplinary teams to translate analytical needs into robust, scalable solutions.

The role sits at the intersection of RWD science, data science, AI, and software engineering, contributing to broader scientific initiatives and adopting AI-enabled approaches to

Qualifikationen

  • PhD in a quantitative field with 2+ years in pharma/biotech R&D or related.
  • Hands-on experience with real-world healthcare data (EHR/claims/registries).
  • Proficiency applying statistical and ML methods to biomedical data.
  • Strong ability to collaborate across data science, engineering and biomedical teams.
  • Growth mindset and interest in Generative AI and agentic approaches to discovery.

Aufgaben

  • Design and execute analyses of real-world healthcare data to address biological, translational, and clinical questions.
  • Design, build, and evaluate agentic workflows enabling models to use tools and data.
  • Apply ML, LLMs, retrieval- and tool-augmented approaches to healthcare data.
  • Integrate diverse datasets to generate deeper insights into disease and patient trajectories.
  • Collaborate with scientists, data engineers, and computational experts to ensure robust, scalable solutions.

Kenntnisse

RWD analysis
AI-enabled workflows
Statistical methods
Data integration
Team collaboration

Ausbildung

PhD in Epidemiology/Data Science

Tools

Python
TensorFlow/PyTorch
SQL
Docker

Jobbeschreibung

Roche is seeking a scientist to advance real-world data insights within the Computational Medicine organization. You will design analyses using EHR/claims data, develop AI-enabled tools and agentic workflows, and collaborate with multi-disciplinary teams to translate analytical needs into robust, scalable solutions.

The role sits at the intersection of RWD science, data science, AI, and software engineering, contributing to broader scientific initiatives and adopting AI-enabled approaches to

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