OUR TEAM:

Are you ready to shape the future of medicine? The race is on to leverage cutting-edge robotics and AI to drive breakthroughs in compound discovery and optimization. Your skills will be critical in helping our teams to discovery better drugs efficiently.
Join our dynamic team at Sanofi Germany (Frankfurt) in the Integrated Drug Discovery department. We are working at the cutting edge of innovation leveraging robotics and artificial intelligence and are currently building an integrated laboratory enabling seamless execution of the full Design-Make-Test-Analyze (DMTA) cycle to accelerate compound discovery and optimization.
We are seeking an experienced Scientist to join our team in the computer-assisted-drug-design department of Integrated Drug Discovery at Sanofi Germany (Frankfurt). The successful candidate will be responsible for developing and optimizing new automated design approaches for Design-Make-Test-Analyze (DMTA) cycles, explore new scientific ways to improve the efficiency and quality of drug discovery processes and actively participate in shaping our future integrated laboratory.
The role further includes the development of novel AI-based design and analysis approaches to integrate them seamlessly into automated workflows and our robotic lab environment. With this, you will advance the science of AI in drug design within our group and evaluate key opportunities for applying them in drug discovery projects. Furthermore, you will strongly contribute to the discovery of novel molecules with state-of the art technologies for AI and computer-aided drug design.

• Advancing artificial intelligence technologies in the field of drug discovery and drive the development of de novo design technologies in combination with multiparameter optimization and computational chemistry technologies
• Design, optimization and application of automated AI-based approaches for the successful design of novel drug molecules
• Development of strategies for automated molecule generation, data analysis, and model optimization and seamless integration of workflows into existing ecosystems to feed into automated lab environments
• Systematically analyze large data sets for the design of novel molecules
• Playing an active role in multidisciplinary drug discovery teams consisting of medicinal chemists, automation scientists, and biologists and being an active member of the computational and medicinal chemistry community
• Working within an agile team of digital scientists to develop artificial intelligence technologies across domains
• Communicate results to experts from different scientific areas and explain methodologies and analytical findings to peers and customer stakeholders