Senior AI Scientist- Molecular Discovery- CDI- F/M

Pierre Fabre is seeking a Senior AI Scientist- Molecular Discovery to design, build, and maintain generative AI workflows and data-driven protocols to support drug discovery programs. The successful candidate will play a pivotal role in accelerating the identification of high-quality drug candidates by leading the development of machine learning methodologies to chemical space exploration and molecular optimization within the oncology pipeline.

Requirements

• PhD in Computer Science, Artificial Intelligence, Cheminformatics, or a related Computational Science
• Proven proficiency in designing or deploying deep learning architectures, specifically diffusion models, Graph Neural Networks (GNNs), or Attention-based models, applied to structural biology or chemistry
• Experience with the integration of physical principles into ML models, including knowledge of AI-driven structural prediction and techniques for sampling biomolecular ensembles
• Expert-level command of Python and its scientific/AI ecosystem (PyTorch, PyTorch Geometric, RDKit, NumPy, SciPy) for the development of complex discovery workflows
• Strong understanding of chemical informatics and the ability to integrate physical constraints, such as synthetic accessibility or valency, into machine learning frameworks
• Strong experience in Unix/Linux environments, high-performance computing (HPC) management, and professional version control practices (Git)
• Excellent written and oral communication skills, with the ability to document technical protocols clearly for a multi-disciplinary audience

Benefits

• 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
• Very attractive CE