Senior AI Scientist - Molecular Discovery (Remote)

Pierre Fabre Laboratories; Toulouse; Hybride; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Incentives and profit-sharing

Health and provident insurance

25 days of personal holidays

Public transport participation

Résumé du poste

A leading pharmaceutical company based in Toulouse is seeking a Senior AI Scientist in Molecular Discovery. This role involves designing AI workflows and data-driven protocols to enhance drug discovery efforts. The ideal candidate should have a PhD in a relevant field and extensive experience in machine learning and programming, with a focus on drug design. The role offers a competitive remuneration package and the flexibility for remote work, making it an attractive opportunity for experts in the field.

Qualifications

• PhD in a relevant field with a track record in molecular systems or drug design.
• Proficiency in deploying deep learning architectures for structural biology.
• Experience integrating physics with ML models.

Responsabilités

• Design and implement automated workflows using AI-driven methods.
• Develop protocols for molecular physics and protein-ligand conformations.
• Work across teams as a technical support bridge between disciplines.

Connaissances

Machine Learning Expertise

Physics-Aware AI

Advanced Programming

Chemistry & Drug Design Awareness

Software Engineering

Communication skills

Formation

PhD in Computer Science, Artificial Intelligence, Cheminformatics, or related

Outils

Python

PyTorch

NumPy

SciPy

RDKit

Git

Description du poste

A leading pharmaceutical company based in Toulouse is seeking a Senior AI Scientist in Molecular Discovery. This role involves designing AI workflows and data-driven protocols to enhance drug discovery efforts. The ideal candidate should have a PhD in a relevant field and extensive experience in machine learning and programming, with a focus on drug design. The role offers a competitive remuneration package and the flexibility for remote work, making it an attractive opportunity for experts in the field.