Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 104.300 to 126.500€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop advanced machine learning algorithms for biomolecule characterization, driving efficiency in drug discovery by collaborating with chemists and biologists.
Job Technologies
Your role in the team
- You lead the development, evaluation, and application of machine learning algorithms and workflows for the characterization and design of biomolecules to accelerate drug discovery.
- You identify opportunities for accelerating ongoing drug discovery projects with internal and external AI capabilities.
- 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.
- You keep up to date with the latest advances in computational modeling of biomolecular structure, physics, interactions, and function.
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Our expectations of you
Education
- 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.
Qualifications
- 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.
- Expertise in modern bioinformatics tools (e.g., mmseqs, foldseek) is part of your profile.
- 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.
- Excellent written and verbal communication skills in English round off your profile.
Experience
- You have multiple years of relevant post-PhD experience, including professional experience in industry.
- 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.
- 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.
- 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.
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What we offer
- 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 self-care 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
Bayer AG
Bayer AG is a globally active company with core competencies in the life science fields of health and nutrition. We develop our products and services for the benefit of people and the planet, and are committed to addressing the global challenges of a constantly growing and aging world population.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Machine Learning Scientist
- Salary
- 104.300 to 126.500€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
