
Biographica helps agricultural and biotech teams find genes to edit faster, reducing time and failure in crop trait development. It uses graph-based machine learning and genomics to model biological relationships and predict target genes, combining in silico prioritization with in vivo experimental validation. The company operates as a B2B biotechnology platform that partners with crop companies and research labs and provides developer-friendly interfaces and collaboration workflows. Biographica targets translational crop improvement and precision gene-editing programs to accelerate trait discovery across diverse crops.

Biographica helps agricultural and biotech teams find genes to edit faster, reducing time and failure in crop trait development. It uses graph-based machine learning and genomics to model biological relationships and predict target genes, combining in silico prioritization with in vivo experimental validation. The company operates as a B2B biotechnology platform that partners with crop companies and research labs and provides developer-friendly interfaces and collaboration workflows. Biographica targets translational crop improvement and precision gene-editing programs to accelerate trait discovery across diverse crops.
About Us 🌽 Safeguarding the future of food
Biographica is on a mission to accelerate the development of more productive, sustainable, nutritious, and climate-resilient food sources. To achieve this, we're building the world’s first ML-driven trait discovery platform for crop gene-editing - enabling faster, more confident decisions about which traits to develop and bring to market.
We’ve built a computational discovery engine that can identify and rank gene targets for a given crop trait in a matter of weeks, and design precise gene edits to achieve the desired trait effect. Today, this engine underpins discovery partnerships with leading seed companies: we deliver novel trait genetics through a software application that integrates directly into partners’ experimental testing pipelines. As we expand our in-house lab capabilities, we’re now validating our designed genetics experimentally and advancing our first internal trait programs. This allows us to move beyond discovery alone — providing partners with increasingly de-risked, validated traits while laying the foundation for repeatable, end-to-end product development.
We recently announced a £7M funding round and expanded our portfolio of partnerships to include BASF | Nunhems, one of the world’s leading seed companies. We’re backed by world-class investors and guided by deep scientific and technical expertise. Our team of scientists, engineers, and operators are working at the interface of life sciences and technology to solve one of humanity’s most urgent problems: how to feed the world sustainably.
👥 Team
Led by co-founders Dom (CTO) and Cecy (CEO), we are now a team of 13, including ML engineers, data engineers, computational biologists, experimental scientists and an operations team. We primarily work together in person from our office in Spitalfields, London, 4 days per week, and have a lab in Rothamsted. This role will be based in London.
Responsibilities This is a hands-on, 0→1 role with real ownership, reporting to the CEO. You’ll work closely with our science, engineering, and commercial teams to translate cutting-edge discovery technology — spanning computational and experimental workstreams — into partner-ready trait programs, help determine where we invest next as a company, and lay the foundations of Biographica’s product discipline as we scale.
In the first year, your mandate is to translate Biographica’s discovery capabilities into two coherent product streams: 1) a focused portfolio of clearly scoped trait programs with strong early partner engagement, and 2) the next iteration of our computational discovery software for discovery partnerships — while building the product discipline that makes this work repeatable as we scale.
Competencies
We’re looking for a unique blend of curiosity, technical literacy, and product intuition — someone who thrives on turning ambiguity into clarity and science into impact.
Background
Why join us?