
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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The opportunity We are seeking a Head of Lab Platform to join our team working at the interface of generative AI and synthetic biology. You will lead and evolve our experimental capabilities, connecting high throughput assay work with our AI workflows and driving us towards a fully autonomous lab. This is an opportunity to think big: to build the infrastructure that closes the loop between biological experimentation and machine learning at scale. You will oversee a team of scientists, set the strategic vision for our lab platform, and work in close collaboration with machine learning teams. A strong blend of software, hardware, and biomolecular skills is essential.
Who We Are 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. We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact.
Who You Are
What Sets You Apart (preferred Not Required)
Your Responsibilities
Apply! We offer strongly competitive compensation and benefits packages, 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. The role will be based in San Francisco.
To apply, please fill in our application form
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Lead and operate the lab platform ~50% of your time
Provide strategic direction and oversight for the lab platform scientists, spanning high throughput validation, data collection, and automation workstreams.
Manage and conduct the screening workloads with the team. Hands-on at the bench, if required.
Work with the the Head of Operations to organise the lab operations.
Foster a collaborative and innovative environment, promoting a culture of technical excellence and continuous learning.
Mentor and develop team members, enabling their professional growth and fostering their technical expertise.
Manage and develop CRO partnerships, identifying when to leverage external capacity and ensuring data quality and turnaround times meet our internal standards.
Lab automation vision and strategy ~25% of your time
Develop and own a comprehensive lab platform strategy: high throughput validation will remain central, and we want to significantly expand our data collection capabilities and progress towards full lab autonomy.
Identify, evaluate, and integrate new automation hardware and software.
Identify and prioritise platform development areas and projects with the highest potential for scientific impact and commercial success.
Develop and execute plans to connect laboratory workflows with agentic AI systems, enabling closed-loop experimental design, execution, and learning.
Platform integration and collaboration ~20% of your time
Work closely with computational biologists, machine learners, and software engineers to deeply integrate the experimental platform with our AI workflows - ensuring that data flows seamlessly from bench to model and back again.
Ensure seamless data integration and interoperability between different components of the platform and the interface with machine learning.
Integrate external services into our experimental platform work flows.