
Latent Labs makes biology programmable by providing generative AI models that accelerate molecular design for health and sustainability. They build foundational deep learning models and generative AI…

Latent Labs makes biology programmable by providing generative AI models that accelerate molecular design for health and sustainability. They build foundational deep learning models and generative AI…
Founded: 2023
Founder / CEO: Dr. Simon Kohl
HQ: London; office in San Francisco
Focus: Generative AI models for molecular and protein design
Latest funding: $50M (announced Feb 13, 2025)
Computational protein design, antibody and drug candidate design, enzyme optimization, genetic engineering
2023
Biotechnology
$40,000,000
Part of a $50M total announced funding round; additional participation from other institutional and angel investors.
$10,000,000
Included in the announced $50M total alongside the Series A
“Participation from institutional investors (Radical Ventures, Sofinnova Partners, Flying Fish, Isomer, 8VC, Kindred Capital, Pillar VC) and notable technical angel investors (including Jeff Dean and Aidan Gomez)”
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We are seeking a Head of AI Protein Design to join our team working at the interface of generative AI and protein design. You will play a key role in shaping our scientific strategy, conceiving of and delivering on protein design campaigns as part of AI model validation and customer facing projects, whilst leading a team of computational protein designers.
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, in-depth biochemical and structural understanding of proteins as well as cutting edge experimental techniques, you will drive our real world validation and application efforts to design for and optimize proteins. You will closely collaborate with our Frontier AI Models unit and our Experimental Platform unit.
Who You Are
What Sets You Apart (preferred But Not Required)
Your Responsibilities
Apply We offer strongly competitive compensation and benefits packages, including:
We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
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Define and implement a roadmap of proof-of-concept strategies that will enable commercial business objectives:
Based on industry experience and deep scientific insight, propose experimental validation projects for testing our AI models.
Set objectives for protein design campaigns to support proof-of-concept projects and internal business objectives .
Help to develop the protein design platform & partnerships:
Together with the CEO and Head of Business Development, shape the portfolio of capabilities for the company’s protein design platform, helping to prioritize new areas and domains.
Collaborate closely with our Head of Business Development to cultivate strong, enduring relationships with our initial partners, ensuring their ongoing satisfaction and success.
Proactively seek opportunities to expand and deepen our relationships with new or existing partners, identifying areas for growth and collaboration.
Lead and develop a high-performing computational protein design team:
Create a thriving team culture: Use your leadership skills to build a collaborative, innovative, and high-morale environment and proactively seek opportunities to ensure alignment and open communication within the team and across other departments.
Recruit and retain top talent: Attract exceptional computational protein design talent, and nurture their professional development.
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 machine learning scientists and 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 finetune and prompt our models.
Collaboration and communication:
Be an effective interface between machine learning model development and experimental validation.
Analyze, interpret, and present findings to internal and external stakeholders, guiding strategic decision-making.
Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units.
Contribute to our internal computational tools:
Help to pioneer our research, by improving the way we use, serve and integrate our AI models.
Contribute to bespoke software and ML tools, such as for bioinformatics analysis, primer design, plate management, tracking and normalization, calibration of equipment etc.
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.