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- Advance drug discovery projects using cutting-edge computational chemistry, computer-aided drug design, and machine learning techniques (including new modalities, biologics, and chemical tools)
- Develop, implement, and apply property prediction methods and AI approaches based on chemical and biological data (in vitro and in vivo)
- Apply your expertise in physics-based calculations, including quantum mechanics and molecular dynamics simulations, and contribute to the development and evaluation of computational models and methods
- Present complex scientific results clearly to interdisciplinary audiences, guide experimental planning, and contribute to strategic project decisions
- Mentor and develop less experienced team members
- Enhance our scientific excellence and external visibility through publications and engagement with the broader scientific community in Berlin and beyond
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