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Bayer

Master Thesis - Microsolvation in Biological Systems (Hybrid)

2w

Bayer

Leverkusen, DE · Full-time · €12,000 – €18,000

About this role

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 a real possibility. Join a community of brilliant and diverse minds for this Master Thesis on microsolvation in biological systems with hybrid work option. Build a varied and meaningful career making a real difference.

Develop workflows in the field of chemistry, specifically the placement of water molecules in protein ligand systems. Establish and evaluate the FEBISS method on research relevant use cases. Analyze complex interrelationships and interdisciplinary questions in computational chemistry modeling.

Build a valuable network of contacts in the research & development community at Bayer. Work in a structured and independent manner amid unique perspectives. Expand capabilities through energy, curiosity, and sheer dedication in Crop Science division.

Prepare publications, presentations and documentation of your work. Thesis co-supervised by Prof. Dr. Maren Podewitz at TU Wien, with onboarding in Vienna and work in Leverkusen. Address greatest global challenges like keeping people healthy and feeding the growing population.

Bayer welcomes applications from all individuals regardless of race, national origin, gender, age or other criteria. Our success starts with you and your voice, ideas and perspectives. Be part of it. Be Bayer.

Requirements

  • 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
  • Strong foundation in (bio)chemistry
  • Flexibility and ability to work in a structured and independent manner
  • Enjoy analyzing complex interrelationships and interdisciplinary questions
  • Exposed to git and Linux before

Responsibilities

  • Develop workflows in the field of chemistry, specifically the placement of water molecules in protein ligand systems
  • Establish and evaluate the FEBISS method on research relevant use cases
  • Build a valuable network of contacts in the research & development community at Bayer
  • Prepare publications, presentations and documentation of your work

Benefits

  • Hybrid work option
  • Build valuable network in Bayer research & development community
  • Prepare publications, presentations and documentation
  • (Co-)supervised by Prof. Dr. Maren Podewitz at TU Wien