graphica.bio

meet the team

stay in touch

Careers at Biographica

default

Biographica generates the biological assets behind better crops. <br><br>We find the causal, editable gene targets for a crop trait, design the edits that move it, and partner with seed companies to take them to the field.
<br><br>&nbsp;Improving a trait takes years, and most candidate targets never validate. Seed companies rarely lack predictions — what's scarce is a target that holds up in their germplasm, and every failed cycle costs a breeding season that money can't buy back. So we build models that respect the structure of biology rather than proxies for it, with interpretable evidence behind every ranking. Fewer things to validate, a higher hit rate on the ones that matter.<br>

About Us

Cecy studied Biological Sciences at Oxford University and has an MSc in ML from Imperial College London, specialising in graph-based biological modelling. At Biographica, Cecy leads strategy and business development, leveraging prior experience in drug manufacturing and supply chain at GSK as well as market access strategy consulting for gene-editing technologies.

Cecily Price

Dom has Masters degrees in Maths and Stem Cell Biology, as well as a PhD in Computational Genomics, from Cambridge. In his PhD, and later as an ML researcher at Relation Therapeutics, Dom applied graph ML to target discovery. He leads platform development at Biographica, drawing inspiration from drug discovery to design efficient target discovery methods for crop gene-editing.

Dominic Hall

Meet the Founders

Gallery

We’re driven by curiosity and clarity. That means asking real questions, challenging assumptions, and changing our minds when the evidence points somewhere new. We care more about learning than being right, and we share what we find along the way.

Seek the truth

Responsibility here is about showing up and making things happen. We take initiative, follow through, and we care about the outcome.

Own it&nbsp;

When something needs doing, we lean in, start small, and learn quickly. Speed matters, but only when it’s directed. We focus on what’s most important, make deliberate trade-offs, and move forward with clarity and purpose.

Act fast with intention

We work as a team, not a collection of individuals. That means helping each other succeed, communicating with honesty and respect, and making space for different voices to shape where we go, to get to the outcomes - for the company and for individuals.

Show up for each other

We’re here to solve real problems, not just ship features. We stay focused on work that makes a difference - ambitious, practical, and grounded in the impact it can have on the world.

Build what matters

Our Values

<html><head></head><body><h2>About us</h2>
<div>
<div>Biographica generates the biological assets behind better crops. We find the causal, editable gene targets for a crop trait, design the edits that move it, and partner with seed companies to take them to the field.</div>
<div>&nbsp;</div>
<div>Improving a trait takes years, and most candidate targets never validate. Seed companies rarely lack predictions — what's scarce is a target that holds up in their germplasm, and every failed cycle costs a breeding season that money can't buy back. So we build models that respect the structure of biology rather than proxies for it, with interpretable evidence behind every ranking. Fewer targets to validate at a higher hit rate.</div>
<div>&nbsp;</div>
<div>We partner with leading seed companies including BASF | Nunhems, are advancing our first in-house licensable trait programmes, raised a £7M seed round, and are on the way to Series A.</div>
<div>&nbsp;</div>
<div>We're a team of 17: machine learning engineers, data engineers, bioinformaticians and experimental scientists. This role is based at our lab at Rothamsted in Harpenden.</div>
</div>
<div>
<div>&nbsp;</div>
<h2>What we're looking for</h2>
<p>As part of the Science team, you will lead on development, optimisation and application of crop transformation and genome editing methods, which involve plant tissue culture or are tissue culture free.</p>
<div>
<ul>
<li>Your first priorities will be:</li>
<li>Designing (or assisting with design of) experiments for gene target validation in planta</li>
<li>Setting up and optimising transformation/genome editing methodologies in crops, which are part of Biographica’s portfolio</li>
</ul>
<h4>Core responsibilities</h4>
<ul>
<li>Establish, optimise and perform genetic transformation and genome editing in crops of interest to Biographica</li>
<li>Perform molecular genotyping of transgenic/genome edited lines</li>
<li>Design and assemble DNA constructs for genetic transformation/genome editing</li>
<li>Prepare media for plant tissue culture and in planta transformation/genome editing experiments</li>
<li>Document protocols and experimental results in an ELN</li>
</ul>
</div>
<h4>Additional responsibilities</h4>
<div>
<ul>
<li>Communicate experimental results to the Science team and the wider company</li>
<li>Communicate with Rothamsted horticultural services regarding plant growth space, standing orders for plant material etc.</li>
<li>Order lab consumables</li>
</ul>
<h4>Core competencies</h4>
</div>
<div>
<ul>
<li>Extensive hands-on experience with crop transformation in tissue culture</li>
<li>Experience with high-throughput molecular analysis of transgenic/genome edited plants</li>
<li>Proficient in DNA vector design and assembly (molecular cloning) for application in plant transformation</li>
<li>Great attention to detail</li>
<li>Ability to document results in a detailed and clear way in an ELN</li>
<li>High competence in compiling written reports and communicating findings across disciplines (e.g. via PowerPoint presentations); we are a machine learning-first company with a team of machine learning engineers, data engineers, computational biologist and bioinformaticians and we all have to find a common language to work on our shared goal of rapid and accurate gene discovery for agricultural traits</li>
<li>Full professional proficiency in English</li>
</ul>
</div>
<h4>Nice to have competencies</h4>
<div>
<ul>
<li>Experience with applying the genome editing technology in plants</li>
<li>Experience with transient assays in plants (Agrobacterium-mediated gene expression, VIGS)</li>
<li>Familiarity with the Benchling ELN</li>
<li>Experience with NGS work (Illumina, ONT or PacBio)</li>
</ul>
</div>
<h4>Education Qualifications</h4>
<div>BSc or PhD in Plant Biology, Plant Biotechnology or a related discipline (appointment level will reflect education qualification and experience)</div>
<h2>Benefits</h2>
<div>
<ul>
<li>Competitive salary &amp; equity options</li>
<li>25 days annual leave</li>
<li>Benefits package</li>
<li>Career development opportunities as the company scales</li>
<li>Ownership of ambitious, mission-driven work with real-world impact</li>
<li>Vibrant, innovative &amp; supportive work environment with a committed team</li>
<li>Access to conferences, events &amp; professional development resources</li>
</ul>
</div>
</div></body></html>

<h2>About us</h2>
<div>
<div>Biographica generates the biological assets behind better crops. We find the causal, editable gene targets for a crop trait, design the edits that move it, and partner with seed companies to take them to the field.</div>
<div> </div>
<div>Improving a trait takes years, and most candidate targets never validate. Seed companies rarely lack predictions — what's scarce is a target that holds up in their germplasm, and every failed cycle costs a breeding season that money can't buy back. So we build models that respect the structure of biology rather than proxies for it, with interpretable evidence behind every ranking. Fewer targets to validate at a higher hit rate.</div>
<div> </div>
<div>We partner with leading seed companies including BASF | Nunhems, are advancing our first in-house licensable trait programmes, raised a £7M seed round, and are on the way to Series A.</div>
<div> </div>
<div>We're a team of 17: machine learning engineers, data engineers, bioinformaticians and experimental scientists. This role is based at our lab at Rothamsted in Harpenden.</div>
</div>
<div>
<div> </div>
<h2>What we're looking for</h2>
<p>As part of the Science team, you will lead on development, optimisation and application of crop transformation and genome editing methods, which involve plant tissue culture or are tissue culture free.</p>
<div>
<ul>
<li>Your first priorities will be:</li>
<li>Designing (or assisting with design of) experiments for gene target validation in planta</li>
<li>Setting up and optimising transformation/genome editing methodologies in crops, which are part of Biographica’s portfolio</li>
</ul>
<h4>Core responsibilities</h4>
<ul>
<li>Establish, optimise and perform genetic transformation and genome editing in crops of interest to Biographica</li>
<li>Perform molecular genotyping of transgenic/genome edited lines</li>
<li>Design and assemble DNA constructs for genetic transformation/genome editing</li>
<li>Prepare media for plant tissue culture and in planta transformation/genome editing experiments</li>
<li>Document protocols and experimental results in an ELN</li>
</ul>
</div>
<h4>Additional responsibilities</h4>
<div>
<ul>
<li>Communicate experimental results to the Science team and the wider company</li>
<li>Communicate with Rothamsted horticultural services regarding plant growth space, standing orders for plant material etc.</li>
<li>Order lab consumables</li>
</ul>
<h4>Core competencies</h4>
</div>
<div>
<ul>
<li>Extensive hands-on experience with crop transformation in tissue culture</li>
<li>Experience with high-throughput molecular analysis of transgenic/genome edited plants</li>
<li>Proficient in DNA vector design and assembly (molecular cloning) for application in plant transformation</li>
<li>Great attention to detail</li>
<li>Ability to document results in a detailed and clear way in an ELN</li>
<li>High competence in compiling written reports and communicating findings across disciplines (e.g. via PowerPoint presentations); we are a machine learning-first company with a team of machine learning engineers, data engineers, computational biologist and bioinformaticians and we all have to find a common language to work on our shared goal of rapid and accurate gene discovery for agricultural traits</li>
<li>Full professional proficiency in English</li>
</ul>
</div>
<h4>Nice to have competencies</h4>
<div>
<ul>
<li>Experience with applying the genome editing technology in plants</li>
<li>Experience with transient assays in plants (Agrobacterium-mediated gene expression, VIGS)</li>
<li>Familiarity with the Benchling ELN</li>
<li>Experience with NGS work (Illumina, ONT or PacBio)</li>
</ul>
</div>
<h4>Education Qualifications</h4>
<div>BSc or PhD in Plant Biology, Plant Biotechnology or a related discipline (appointment level will reflect education qualification and experience)</div>
<h2>Benefits</h2>
<div>
<ul>
<li>Competitive salary &amp; equity options</li>
<li>25 days annual leave</li>
<li>Benefits package</li>
<li>Career development opportunities as the company scales</li>
<li>Ownership of ambitious, mission-driven work with real-world impact</li>
<li>Vibrant, innovative &amp; supportive work environment with a committed team</li>
<li>Access to conferences, events &amp; professional development resources</li>
</ul>
</div>
</div>