🌽 Safeguarding the future of food
We’re on a mission to accelerate the development of more productive, sustainable, nutritious & climate-resilient food sources.
How? By building the world’s first ML-driven target discovery platform for crop gene-editing.
🧬 From drug target discovery to crop target discovery
While gene-editing of crops is becoming ever more efficient, identifying which genes to edit and how remains a significant challenge.
To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high value genetic targets for crop gene-editing.
Our approach draws inspiration from recent advancements in the drug discovery space, incorporating LLMs, transformers and graph-based technologies to build a best-in-class discovery platform for plant sciences.
👥 Team
Led by co-founders Dom (CTO) and Cecy (CEO), we are now are a team of 7 including 2 ML engineers, 2 data engineer’s, 3 bioinformaticians. We also have a remote, part-time intern conducting ML research. We primarily work together in-person from our office in Spitalfields, London, 4 days per week.
https://www.google.com/maps/place/Second+Home+Spitalfields/@51.5207979,-0.0735062,16.77z/data=!3m1!5s0x48761cca008debf7:0x23a9cc442c3ac8bc!4m6!3m5!1s0x48761cb6078166ad:0x855c01ecfb6fa1c3!8m2!3d51.5201187!4d-0.0703587!16s%2Fg%2F11b6d43vrx?entry=ttu
Working alongside our Data Engineering Lead, Dennis Schwartz, you’ll be helping us build a best-in-class Data Engineering function, working across our core platform build, as well as helping to structure robust datasets for our ML teams to use across their knowledge graphs.
This role would ideally suit a generalist Data Engineer, looking to work in a fast paced, high conviction ML environment who loves to dive into multiple challenges.