Computational Protein Designer

About the role

We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, you will play a key role amongst a team of scientists designing and engineering proteins for specific functions. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our machine learning and experimental platform units, working closely to seamlessly integrate AI generations and lab validation data. At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

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
• 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
• Develop and execute biochemical assays for wet

Requirements

• You are a generative modelling enthusiast You have AI generative modeling experience, including model training and large scale inference.
• You are a protein biochemist. You have extensive wet lab biology experience, and can independently execute end-to-end design campaigns, including experimental validation, to achieve protein design objectives.
• You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.
• You are a connector. You love to connect people and enable them to perform at their highest levels. You have excellent communication and presentation skills with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.
• What sets you apart (preferred but not required)
• You have experience with generative AI. You have experience leveraging generative AI (or other machine learning models) in synthetic biology applications.
• You have experience with homology-based and structural bioinformatics, and are able to answer scientific questions using very large databases.
• You have helped scale a young biotech before . You have worked in startups and helped the company grow.

Benefits

Additional Information

Computational Protein Designer

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Company Intel

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