Job Description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Master Thesis (f/m/d) - Microsolvation in biological systems (Hybrid Work Option)

YOUR TASKS AND LEARNING AREAS

• Development of workflows in the field of chemistry, specifically the placement of water molecules in protein ligand systems
• Establishing and evaluating the FEBISS method on research relevant use cases
• Building a valuable network of contacts in the research & development community at Bayer
• Preparation of publications, presentations and documentation of your work

WHO ARE YOU

• Enrolled as a master student in a natural science program (chemistry, chemical engineering, physics, or a comparable field)
• Knowledge of computational chemistry and modeling, first acquaintance with statistical thermodynamics of solvation is an advantage
• Experience in a programming language such as Python, ideally some familiarity with computational chemistry tools such as visualization (e.g. Pymol, Chimera), quantum mechanics (e.g. Orca) and molecular dynamic (e.g. Amber, Gromacs) software tools
• You have a strong foundation in (bio)chemistry
• Flexibility and ability to work in a structured and independent manner
• Enjoy analyzing complex interrelationships and interdisciplinary questions
• You were exposed to git and Linux before

YOUR APPLICATION

This is your chance to join us in addressing the greatest global challenges of our time: keeping people healthy, feeding the world's growing population and slowing climate change. You have a voice, ideas and perspectives that we want to hear. Because our success starts with you. Be part of it. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Please note that your thesis will be (co-)supervised by Prof. Dr. Maren Podewitz at TU Wien and be conducted in Leverkusen at Bayer with an onboarding phase in Vienna.

Location: ​ ​ ​ Germany : North Rhine Westfalia : Leverkusen​

​ ​Division: ​ Crop Science​

Reference Code: 868411​