Senior Computational Chemist (drug Discovery & Generative Ai) -cdi- F/m

Pierre Fabre

Toulouse, France
Hybrid
Generative chemistry and ai-driven workflows
Physics-based simulations (md, docking, qm)
Qsar models and adme-tox predictors
Actively guiding and executing the computational strategy for multiple drug discovery programs simultaneously

Job Summary

  • Actively guiding and executing the computational strategy for multiple drug discovery programs simultaneously.
  • Applying a hybrid approach that combines AI-driven generative workflows with physics-based simulations to accelerate molecular design.
  • Partnering with chemists, biologists, and ADME experts to interpret experimental results and refine computational hypotheses in real-time.

Matching Summary

Actively guiding and executing the computational strategy for multiple drug discovery programs simultaneously.

Skills & Requirements

Must-have

  • Generative chemistry and AI-driven workflows
  • Physics-based simulations (MD, docking, QM)
  • QSAR models and ADME-Tox predictors
  • Python for data manipulation
  • Hybrid technical environment (VMs, AWS)
  • Unix/Linux scripting and HPC clusters
  • Version control systems (Git)

Nice-to-have

  • Cross-functional collaboration
  • Continuous improvement of pipelines
  • Diversity and inclusion

Key Requirements

  • PhD in Computational Chemistry or related field
  • 5+ years industry experience
  • 5+ years drug discovery experience
  • Proven track record in Lead Optimization
  • Solid experience in SBDD and LBDD
  • Strong proficiency in Python
  • Proficiency in hybrid environments (Windows VMs, Linux, AWS)
  • Excellent English communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter