Description

In this role, you will drive drug discovery by leveraging advanced computational chemistry and machine learning. Your responsibilities will include developing predictive models, mentoring team members, and sharing findings with diverse audiences to enhance scientific visibility.

Requirements

• •PhD in computational chemistry, cheminformatics, chemistry, or related discipline
• •Experience in computational drug design, preferably in an industrial setting
• •Profound expertise in computational chemistry techniques applied to drug discovery
• •Solid understanding of medicinal chemistry fundamentals
• •Expert knowledge of CADD software packages and modern molecular modeling techniques
• •Experience with Python scripting and KNIME workflows
• •Excellent presentation skills and ability to thrive in a dynamic, interdisciplinary team environment
• •Working proficiency in spoken and written English
• •Independent work attitude with excellent teamwork, reliability and flexibility

Tasks

• •Advance drug discovery projects using computational chemistry
• •Utilize computer-aided drug design and machine learning techniques
• •Develop and implement property prediction methods
• •Apply AI approaches based on chemical and biological data
• •Conduct physics-based calculations, including quantum mechanics
• •Perform molecular dynamics simulations
• •Contribute to the development of computational models and methods
• •Present complex scientific results to interdisciplinary audiences
• •Guide experimental planning and strategic project decisions
• •Mentor less experienced team members
• •Enhance scientific excellence through publications
• •Engage with the scientific community in Berlin and beyond

Tools & Technologies

Benefits