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.
Machine Learning Scientist (all genders)
YOUR TASKS AND RESPONSIBILITIES
1. You lead the development, evaluation, and application of machine learning algorithms and workflows for the characterization and design of biomolecules to accelerate drug discovery
2. You identify opportunities for accelerating ongoing drug discovery projects with internal and external AI capabilities
3. You communicate, educate, and engage with a broad set of stakeholders (chemists, biologists, computational/data scientists, R&D leadership, consortia partners, and the broader scientific community) on the state of technology and the progress of key internal initiatives
4. You keep up to date with the latest advances in computational modeling of biomolecular structure, physics, interactions, and function
WHO YOU ARE
5. You hold a PhD degree in computational chemistry/biology, chem/bioinformatics, chemical/biological/molecular engineering, or a related field at the intersection of life sciences and computer sciences
6. You have multiple years of relevant post-PhD experience, including professional experience in industry
7. You have expertise with state-of-the-art machine learning methods to model biomolecules, for example sequence-to-function models, protein language models, co-folding, inverse folding or steerable generative methods
8. You have experience with ML-based workflows towards characterization of biomolecular interactions, assessment of druggability, candidate screening, or design and optimization of therapeutics and delivery systems.
9. You are experienced in handling, processing, integrating and analyzing large datasets related to drug development research, including sequence, omics, biochemical, biophysical, and structural biology data
10. Expertise in modern bioinformatics tools (e.g., mmseqs, foldseek) is part of your profile
11. You have strong Python programming skills including the scientific stack (e.g. pytorch, pandas, scikit-learn), and experience in collaborative software engineering according to good practices
12. You have a strong commitment to scientific rigor, a proven track record of scientific achievement, excellent analytical thinking skills, and a high level of self-motivation
13. Excellent written and verbal communication skill 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!
14. 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.
15. 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.
16. 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.
17. 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.
18. We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
19. We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.