Senior/Principal Scientist - Translational Statistics - Predictive Modeling

Senior/Principal Scientist position at Servier in Translational Statistics focusing on Predictive Modeling for drug development.

Key Responsibilities

• Generate quantitative evidence across the drug development spectrum
• Convert biomarker data into actionable insights for development decisions
• Develop predictive models to anticipate treatment benefits or toxicity using limited datasets
• Integrate multi-modal biomedical data
• Oversee external AI partner models
• Translate biomarker research into development decisions

Requirements

• PhD in Biostatistics, Data Science, Machine Learning, or related field
• 5+ years applying statistical or machine learning methods to pharmaceutical datasets
• Expertise in ML for predictive modeling in limited data contexts
• Experience with transfer learning and model interpretability
• Scientific-level English proficiency

About Servier

Servier is an international pharmaceutical company governed by a non-profit foundation, committed to therapeutic progress for the benefit of patients.