
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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Who Are We 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.
The Role We are seeking a Scientist to join our team working at the interface of generative AI and biology. The ideal candidate is experienced in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening methods. You will work both collaboratively and independently with teammates to develop and execute screening assays to functionally test and characterize novel proteins designed using our proprietary models.
This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. This role requires strong technical capability, adaptability, organizational and communication skills, as well as ability to work independently and collaboratively in a dynamic team-oriented environment.
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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High-throughput assay development and execution :
Develop and execute high-throughput molecular biology or biochemistry workflows to characterize and validate novel protein designs
Scope and integrate high-throughput wet- and dry-lab tools into experimental workflows
Contribute to development and improvement of existing high-throughput screening platform
Detailed, accurate, and timely documentation of experimental procedures and parameters and handoff of data and analysis results to stakeholders.
Regular communications of experimental outcomes and analysis results to team members and stakeholders.
Data & AI Collaboration
Help document and contextualize experimental results for use by ML/AI collaborators
Scientific Strategy
Stay current with literature to inform assay design and identify best-in-class methodologies.
Participate in cross-functional discussions to help translate wet lab findings into actionable model insights.
Support preparation of internal scientific reports, presentations, and potential publications or patents.
Support engagement with CROs or academic collaborators to extend screening capacity when needed.