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We are seeking an experienced scientist for de novo design of peptide therapeutics using generative AI, to advance our existing de novo design pipeline to the next level. You will join our Computational Drug Discovery team, driving innovation in peptide design and development of novel AI tools. We design and analyze large peptide datasets to accelerate Gubra’s pipeline and create next-generation drug discovery solutions.
Job Responsibility:
Lead 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
Develop and maintain Python-based pipelines and AI models for design and analysis of peptide data
Requirements:
PhD in biochemistry, bioinformatics, computational biology, or related field
Experience from the pharma or biotech industry is highly desirable
Experience with AI/ML in drug discovery
Hands-on experience with AlphaFold and similar tools
Strong understanding of structural biology and biochemical mechanisms (structure–function relationships, binding, stability, and activity)