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Do you want major impact in a highly successful and growing biotech company? When joining Gubra, you will be part of a rapidly growing and very successful biotech company. You will have the opportunity to become our primary expert in de novo design of peptide therapeutics using generative AI – in a very well-functioning team of ambitious and collaborative scientists working in an equally collaborative environment, where cross-organizational dialogue is part of the company DNA.
Job Responsibility:
Drive de novo design efforts using AlphaFold, ColabDesign, RFdiffusion and related tools
Translate biochemistry and structural insights into peptide design hypothesis
Analyze large in-house generated experimental peptide datasets to propose optimization strategies for improving drug properties
Develop and maintain Python-based pipelines and AI models for design and analysis of peptide data
Use AI tools to design peptide-based therapeutics
Use computational models to design molecules that activate or inhibit disease causing targets
Propose novel peptides by applying generative deep learning methods
Analyze large experimental peptide datasets to propose design hypotheses for drug candidates
Contribute ideas and knowledge that can leverage the team’s total skill set
Spend approximately 50% of time on computational design including contribution to strategy development
Spend the other half of time communicating results and interacting with colleagues and other stakeholders
Requirements:
PhD in biochemistry, bioinformatics, computational biology, or a related field
Experience from the pharma or biotech industry or in a senior role in academia
Strong understanding of structural biology and biochemical mechanisms (structure–function relationships, binding, stability, and activity)
Hands-on experience with AlphaFold and similar tools
Experience with AI/ML in drug discovery
Proficiency in Python
Courage to challenge the existing, balanced by a holistic understanding
Communication skills to explain why your work is essential