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Computational Designer - Biologics & Peptides (m/w/x)
Designing and optimizing antibodies and peptides using computational and AI approaches for drug discovery. Several years of therapeutic antibody discovery experience required. Flexible work models, company daycare centers.
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Anforderungen
- PhD in Computational Biology, Biophysics, Bioinformatics, Chemical/Biological Engineering, Structural Biology, or related discipline
- Several years of professional experience in peptide and therapeutic antibody drug discovery
- Strong familiarity with scientific literature and industry practices
- Proven scientific and project leadership capabilities
- Experience in cross-functional research environments
- Expertise in protein and peptide structure modeling
- Expertise in antibody design
- Expertise in molecular dynamics
- Expertise in free-energy and physics-based scoring
- Expertise in machine-learning-guided design
- Proficiency with state-of-the-art AI tools for co-folding, structure prediction, and de novo binder generation
- Ability to interpret large experimental data sets
- Experience with large-scale compute environments (HPC/cloud)
- Experience with containers
- Experience with workflow orchestration
- Understanding of developability considerations for biologics
- Understanding of relevant in silico assessments
- Familiarity with antibody or peptide conjugate modalities
- Excellent problem-solving skills
- Ability to work independently
- Ability to work collaboratively
- Experience in cross-functional environments
- Distinct communication skills
- Distinct negotiation skills
- Strong intercultural competence
- Pronounced team orientation
- Enjoy working in self-organized teams
- Taking ownership and accountability
- Accountability across the full value chain
- Fluent English (written and spoken)
Aufgaben
- Initiate, drive, and support drug discovery projects
- Connect targets with suitable modalities
- Define tailored lead-finding strategies
- Design and optimize antibodies and peptides using computational and AI approaches
- Build and apply modeling pipelines for various properties
- Generate and triage design hypotheses by integrating diverse data
- Develop automated workflows for candidate generation, scoring, and selection
- Collaborate with wet-lab teams to define design goals and interpret data
- Identify acceleration opportunities with AI capabilities
- Partner with IT/HPC stakeholders to ensure compute infrastructure
- Communicate outcomes via reports, visualizations, and presentations
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Flexible work models
- Part-time arrangements
- Company daycare centers
- Childcare support
- Summer camps for children
- Time off for family care
- Learning and development opportunities
- Training programs
- Development dialogues
- Coaching and mentoring programs
- Health checks
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