Principal Machine Learning Scientist (all genders) (Machine Learning Engineer)

Bayer AG PharmaceuticalsBerlin, WuppertalEURESpublished 07/29/2026
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Machine translation — original language: German.Show original

At Bayer, we are visionaries determined to overcome the greatest challenges of our planet and contribute to a world where enough food and adequate medical care for all people are no longer unattainable goals. We do this with energy, curiosity, and pure dedication, constantly learning from the people around us, expanding our mindset, improving our skills, and redefining the "impossible." There are many reasons to join us: If you strive for a diverse and meaningful professional future where you can truly make a difference together with other brilliant minds, we want you in our team.

Principal Machine Learning Scientist (all genders)

YOUR TASKS AND RESPONSIBILITIES

  • You lead the development, evaluation, and application of Machine Learning algorithms and workflows for the characterization and de novo design of biomolecules to accelerate drug discovery
  • You identify potentials to accelerate ongoing drug discovery projects through the use of internal and external AI expertise
  • You communicate, inform, and work with a wide spectrum of stakeholders (chemists, biologists, computer and data scientists, R&D leaders, consortium partners, as well as the broader scientific community) regarding the state of the art and progress of key internal initiatives
  • You actively follow the latest advances in the computational modeling of biomolecular structures as well as their physics, interactions, and functions

WHAT DISTINGUISHES YOU

  • You have a PhD in computational chemistry/biology, chemistry/bioinformatics, chemistry/biology/molecular engineering, or a related field at the intersection of life sciences and computer science
  • You bring several years of relevant professional experience after your PhD, ideally gained in industry
  • You have very good knowledge of state-of-the-art Machine Learning methods for modeling biomolecules, e.g., sequence-to-function models, protein language models, co-folding, inverse folding, or controllable generative methods
  • You impress with experience in ML-based workflows for characterizing biomolecular interactions, evaluating drugability, candidate screening, as well as the design and optimization of therapeutics and delivery systems
  • You have experience in processing, integrating, and analyzing large datasets in drug discovery, including sequence, omics, biochemical, biophysical, and structural biological data
  • You are confident in using modern bioinformatic tools (e.g., MMseqs, Foldseek)
  • You have very good Python skills, including the scientific stack (e.g., PyTorch, Pandas, scikit-learn) as well as experience in collaborative software development following best practices
  • You possess a proven commitment to scientific rigor, demonstrable scientific achievements, as well as strong analytical skills and high self-motivation
  • Excellent written and oral communication skills in English round off your profile

WHAT WE OFFER

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

  • We ensure your financial stability through an attractive 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 hybrid working models or part-time: Whenever possible, we give you the flexibility to work how, where, and when it is best for you.
  • Your family has top priority: We offer loving corporate daycare centers at many locations, support in searching for childcare, leave for caring for family members, holiday programs, and much more.
  • We promote your professional development through access to learning and development measures, courses, and training from the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
  • We support your health and a self-care lifestyle through many measures, such as free health checks with the company doctor and health seminars.
  • We celebrate diversity in an inclusive working environment where you are welcomed, supported, and encouraged to bring your whole personality.

YOUR APPLICATION

This is your chance to join us in facing the greatest global challenges of our time: preserving human health, feeding the growing world population, and slowing climate change. You have a voice, ideas, and perspectives that we want to hear. Because our success begins with you. Be part of it. Be Bayer.

Bayer welcomes applications from all people regardless of ethnic origin, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, marital status, pregnancy, sexual orientation, gender identity, or any other non-related criterion under applicable law. We are committed to the principle of treating all applicants fairly and avoiding discrimination.

Location: Berlin

Division: Pharmaceuticals

Reference code: 865474

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