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.

Principal Machine Learning Scientist (all genders)

You develop novel machine learning algorithms and workflows for protein modeling and design, including protein-protein and protein-ligand modeling. In this global role, you shape the future of drug discovery and collaborate with an international team driving innovative solutions for biomedical research. The position is part of Machine Learning Research and offers you the opportunity to make an impact both internally and externally.

YOUR TASKS AND RESPONSIBILITIES

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

WHO YOU ARE

• You 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
• You bring several years of professional experience after your PhD, including initial experience in the industry
• You have experience with state-of-the-art machine learning methods for co-folding of biomolecules and de-novo protein design
• You are skilled in handling, processing, integrating, and analyzing large datasets related to drug development research, including biochemical, biophysical, and structural biology data
• You have experience with established, physics-based protein modeling methods such as Molecular Dynamics and/or Rosetta
• You demonstrate strong programming skills in Python
• You are 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 round off your profile
  
  

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

• We ensure your financial stability with a competitive salary between 104.300€ and 126.500€ per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
• Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
• Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
• We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
• We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. 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.

Location: ​ ​ ​ Berlin ​

​ ​Division: ​ Pharmaceuticals​

Reference Code: 873348​