Principal Machine Learning Scientist (all genders)

At Bayer, we're visionaries driven to solve the world's toughest challenges and strive for a world where 'Health for all, Hunger for none' is no longer a dream, but a real possibility.

As a Principal Machine Learning Scientist, you will develop novel machine learning algorithms and workflows for protein modeling and design, including protein-protein and protein-ligand modeling. You will shape the future of drug discovery and collaborate with an international team driving innovative solutions for biomedical research.

Your Tasks and Responsibilities:

• Lead the development, evaluation, and application of machine learning algorithms and workflows to accelerate early-stage drug discovery, including de-novo design of biomolecules
• Assess target druggability across therapeutic modalities and design drug delivery systems
• Identify novel druggable pockets and epitopes and characterize protein-protein and protein-ligand interactions
• Implement, validate, and improve machine learning tools and software solutions that support drug discovery
• Identify opportunities to accelerate ongoing drug discovery projects through internal and external AI capabilities
• Communicate, educate, and engage with stakeholders such as chemists, biologists, computational/data scientists, and R&D leadership
• Engage with the broader scientific community through publications, talks, and open-source contributions
• Keep up to date with the latest advances in AI-driven modeling of biomolecular structure and dynamics

Who You Are:

• Hold a PhD degree in Computational Chemistry/Biology, Chemical/Biological/Molecular Engineering, Computer Science, or a related field with strong capabilities at the intersection of life sciences and computer science
• Bring several years of professional experience after your PhD, including initial experience in the industry
• Have experience with state-of-the-art machine learning methods for co-folding of biomolecules and de-novo protein design
• Skilled in handling, processing, integrating, and analyzing large datasets related to drug development research, including biochemical, biophysical, and structural biology data
• Experience with established, physics-based protein modeling methods such as Molecular Dynamics and/or Rosetta
• Demonstrate strong programming skills in Python
• Committed to scientific rigor, possess strong analytical thinking skills, are highly self-motivated, and have a proven track record of scientific excellence
• Excellent written and verbal communication skills in English

What We Offer:

• Competitive salary between 104,300€ and 126,500€ per year (full-time) plus a variable component
• Flexible work models, including hybrid work and part-time arrangements
• Support for your family, including company daycare centers, support in finding childcare, and time off for the care of elderly or dependent family members
• Access to learning and development opportunities, training programs, and coaching and mentoring programs
• Health awareness and opportunities for self-care, such as free health checks with the company doctor
• Inclusive work environment that welcomes and supports diversity