Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. Bayer HealthCare combines the global activities of the Animal Health, Consumer Care, Medical Care and Pharmaceuticals divisions. Its aim is to discover, develop, manufacture and market products that will improve human and animal health worldwide. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

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

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.

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