Senior Data Scientist – Multi‑omics Ai & Target Identification - Cdi

Pierre Fabre

Toulouse, Haute Garonne, France
Fully remote
Multi-omics data analysis
Machine learning
Deep learning models
Design and develop AI systems capable of learning from high-dimensional biological data to accelerate target identification, translational research, and precision medicine strategies

Job Summary

  • Design and develop AI systems capable of learning from high-dimensional biological data to accelerate target identification, translational research, and precision medicine strategies.
  • Develop and apply machine learning and deep learning models to integrate multi-omics data for target identification and prioritization, contributing to biological and disease understanding.
  • We offer an attractive remuneration/benefits package including incentives, profit-sharing, Pierre Fabre shareholding with matching contribution, health and provident insurance, 16 days of holidays (RTT) in addition to 25 days of personal holidays, public transport participation.

Matching Summary

Design and develop AI systems capable of learning from high-dimensional biological data to accelerate target identification, translational research, and precision medicine strategies.

Skills & Requirements

Must-have

  • multi-omics data analysis
  • machine learning
  • deep learning models
  • Python
  • PyTorch
  • transformer-based architectures
  • bioinformatics
  • cancer biology

Nice-to-have

  • intellectual curiosity
  • innovation mindset
  • cross-functional collaboration
  • structured thinking
  • interpretability
  • scientific validity

Key Requirements

  • PhD or Master’s degree
  • 5+ years of experience
  • Professional proficiency in English

Work Rights

Not specified

Tailored Resume

Cover Letter