Computational Protein Design

Your Responsibilities

• Leverage our proprietary generative AI models to design proteins for experimental validation: Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology Generate designs using our proprietary generative AI models and optimize designs for experimental validation Coordinate with our lab-based protein engineers to plan and optimize the design process and validation strategy
• Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology
• Generate designs using our proprietary generative AI models and optimize designs for experimental validation
• Coordinate with our lab-based protein engineers to plan and optimize the design process and validation strategy
• Leverage our proprietary data to improve our models: Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds Collaborate with machine learning scientists to fine-tune and prompt our models
• Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds
• Collaborate with machine learning scientists to fine-tune and prompt our models
• Collaboration and communication: Be an effective interface between machine learning model development and experimental validation Capture bioengineering learnings and feedback to our machine learning unit, and vice versa Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units
• Be an effective interface between machine learning model development and experimental validation
• Capture bioengineering learnings and feedback to our machine learning unit, and vice versa
• Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units
• Contribute to our computational tools: Help improve the way we use, serve and integrate our AI models, by feeding back to the software engineers and foundational machine learning unit Help improve our data management systems and workflows
• Help improve the way we use, serve and integrate our AI models, by feeding back to the software engineers and foundational machine learning unit
• Help improve our data management systems and workflows
• Scientific excellence and self development: Work to the highest scientific standards (publication-grade work) Stay on top of relevant developments in synthetic biology Continue building your understanding of generative AI as well as expanded areas of protein and cell biology Participate in knowledge sharing, e.g. organize and present at our internal reading group. Attend and present at conferences when relevant.
• Work to the highest scientific standards (publication-grade work) Stay on top of relevant developments in synthetic biology
• Continue building your understanding of generative AI as well as expanded areas of protein and cell biology
• Participate in knowledge sharing, e.g. organize and present at our internal reading group.
• Attend and present at conferences when relevant.

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