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About the Role
Initiate, drive, and support drug discovery projects at the intersection of structural biology, biophysics, and AI-enabled design. Connect targets with the right modalities and define tailored lead-finding strategies for antibodies, peptides, and conjugates. This position offers a high-impact platform to shape next-generation biologics discovery.
Responsibilities
- Initiate, drive, and support drug discovery projects as an active member and leader of highly interdisciplinary, cross-organizational teams.
- Apply structural and biological knowledge to connect targets with suitable modalities and define tailored lead-finding strategies.
- Design and optimize antibodies and peptides using structure-based and sequence-based computational and AI approaches.
- Build and apply modeling pipelines for affinity, specificity, stability, developability, and manufacturability-related properties.
- Generate and triage design hypotheses by integrating structural data, sequence/omics data, biophysical/assay results, and scientific literature.
- Develop automated workflows for candidate generation, scoring, selection, and data integration across programs.
- Collaborate with wet-lab teams to define design goals, interpret experimental data, iterate designs, and identify acceleration opportunities with AI capabilities.
- Partner with IT/HPC stakeholders to ensure fit-for-purpose compute infrastructure, software environments, and access patterns.
- Communicate outcomes via concise reports, visualizations, and presentations.
Requirements
- PhD in Computational Biology, Biophysics, Bioinformatics, Chemical/Biological Engineering, Structural Biology, or a related discipline.
- Several years of professional experience (industry or equivalent) in peptide and therapeutic antibody drug discovery.
- Strong familiarity with the scientific literature and industry practices.
- Proven scientific and project leadership capabilities in cross-functional research environments.
- Expertise in protein and peptide structure modeling, antibody design, molecular dynamics, free-energy and physics-based scoring, and machine-learning-guided design.
- Proficiency with state-of-the-art AI tools for co-folding, structure prediction, and de novo binder generation.
- Ability to work with and interpret large experimental data sets.
- Excellent problem-solving skills.
- Ability to work independently and collaboratively in a cross-functional environment.
- Distinct communication and negotiation skills.
- Strong intercultural competence.
- Pronounced team orientation.
- Enjoy working in self-organized teams, taking ownership and accountability across the full value chain.
- Fluent in English, both written and spoken.
Skills
- Protein and peptide structure modeling
- Antibody design
- Molecular dynamics
- Free-energy and physics-based scoring
- Machine-learning-guided design
- AI tools for co-folding, structure prediction, and de novo binder generation
- Working with large experimental data sets
- Large-scale compute environments (HPC/cloud)
- Containers
- Workflow orchestration
- Developability considerations for biologics
- In silico assessments
- Antibody or peptide conjugate modalities
Location
- Germany: North Rhine Westfalia: Wuppertal-Aprath
- Germany: Berlin: Berlin
Work Type
- Full-time
Experience Level
- Several years of professional experience
Education Level
- PhD
Salary/Compensations
- 104.300€ - 126.500€ per year (full-time) plus a variable component
Benefits
- Flexible, appreciative, and tailored benefits package
- Competitive salary plus a variable component
- Hybrid work models
- Part-time arrangements
- Company daycare centers
- Support in finding childcare
- Time off for the care of elderly or dependent family members
- Summer camps for children
- Access to learning and development opportunities
- Training programs through the Bayer Learning Academy
- Development dialogues
- Coaching and mentoring programs
- Health awareness and opportunities for selfcare
- Free health checks with the company doctor
About the Company
- 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’.
- 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.
Equal Opportunity
- 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.