Resurrect Bio

Technology

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Work with us on the future of&nbsp; crop disease protection

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We're rethinking what's possible in agriculture. Our mission is to bring back nature's best defences and unlock crop defences against common agricultural pests and pathogens using gene editing.&nbsp;<br><br>Join a world-class growing team of curious minds to help develop solutions that bolster global food security, reduce the carbon impact of farming and negate the need for harmful chemicals that damage our soil and waterways.<br><br>Where we are<br>HQ: White City, London, UK<br>Satellite Lab: TSL, Norwich, UK<br>

About Resurrect Bio

<html><head></head><body><div><strong>Start</strong>: June (Preferable) - Flexible if awaiting PhD submission<br>&nbsp;<br>This is hybrid role with a minimum 3 days in the lab at White City, London (W12 7RZ) required.<br>&nbsp;<br><strong>About Resurrect Bio</strong><br>Resurrect Bio is a VC-backed plant biotech start-up, discovering how to make crops resistant to disease using gene editing. We fix the immune system of crop species. We have a unique pipeline and platform for discovering resistance genes in crops which have been defeated by pathogens and pests. We then resurrect (restore) those resistance genes to make the crop resistant again, without introducing any new DNA to the crop.<br>&nbsp;<br>We’re focussed on delivering for the world’s farmers a better way to protect their plants, using the crop's own immune system instead of spraying chemicals. This will enable them to increase food production, reduce land for agriculture and help mitigate climate change.<br>&nbsp;<br>In December 2021, Resurrect Bio was spun out of the top institute for molecular plant microbe interactions, The Sainsbury Lab, Norwich. Since then, we have attracted financial support from several renowned VCs, as well as UK Government grant funding.<br>&nbsp;<br><strong>This role</strong></div>
<div>You will assist the dry lab team at Resurrect Bio in levelling up our Protein-Protein interaction AI prediction tool, FloraFold®.&nbsp;</div>
<div>&nbsp;</div>
<div>The role will require:</div>
<ul>
<li>Fine-tuning, optimisation, and deployment of 3D protein structure predictions models</li>
<li>Integrating experimental data to improve structure-based functional inference</li>
<li>Optimise GPU/Cloud workflows for large-scale model fine-tuning and high-throughput structure prediction</li>
<li>Working closely with experimental biologists to validate model predictions in the lab</li>
<li>Assisting with non-AI computational projects and bioinformatics</li>
<li>Investigate and implement novel training strategies and protein interaction scoring capabilities</li>
<li>This is a hands-on role suited to someone comfortable writing code, training models, and helping us define our product roadmap. The computational team is integral to Resurrect Bio and is small but growing.</li>
<li>The role can be hybrid or based at our lab in White City, London.&nbsp;</li>
</ul>
<div>This list is not exhaustive, as is often the case in a startup. However, we temper our expectations based on the seniority of the role, post-PhD or similar. If you are very confident in your ability and can demonstrate significant experience, we are also advertising a Senior AI Scientist role.</div>
<div>&nbsp;</div>
<div><strong>What we offer</strong></div>
<ul>
<li>£55-70k salary dependent on experience</li>
<li>Share options in Resurrect Bio</li>
<li>10% annual bonus on your base salary, when the company hits milestones</li>
<li>34 days of annual leave, including bank holidays</li>
<li>Pension plan</li>
<li>Private medical insurance</li>
<li>35 hours per week, Monday - Friday</li>
</ul>
<div><strong>Required skills</strong></div>
<ul>
<li>Proficiency in Python and libraries used in AI applications (e.g., PyTorch, JAX,<br>Tensorflow)</li>
<li>Strong data analysis and engineering capabilities, including working with large-scale<br>biological datasets and building robust data pipelines</li>
<li>Understanding of protein structure, folding, and sequence-structure relationships</li>
<li>Ability to translate computational predictions into biological insights</li>
<li>Excellent communication skills with ability to present complex research findings to<br>both technical and non-technical audiences</li>
</ul>
<div><strong>Nice to have</strong></div>
<ul>
<li>Experience with workflow management tools like Nextflow</li>
<li>Familiarity with HPC/Cloud computing (we use GCP)</li>
<li>A background in Structural Biology</li>
</ul>
<div><strong>Qualifications/Experience</strong><br>A PhD in a directly relevant discipline (e.g., Computational Biology, Machine Learning, Bioinformatics with a strong emphasis on protein engineering). We will consider candidates with an MSc and 3+ years of direct experience.<br>&nbsp;<br><strong>Application process</strong><br>This role uses blind recruitment practices to reduce unconscious bias in our hiring process. The system identifies information such as names, photos, and personal details that are removed during initial screening to ensure candidates are evaluated solely on their skills and experience. We are an equal opportunities employer committed to building a diverse and inclusive workplace.<br>&nbsp;<br>Applications are open on a rolling basis and may be closed at any time.<br>&nbsp;</div></body></html>

<div>
<strong>Start</strong>: June (Preferable) - Flexible if awaiting PhD submission<br> <br>This is hybrid role with a minimum 3 days in the lab at White City, London (W12 7RZ) required.<br> <br><strong>About Resurrect Bio</strong><br>Resurrect Bio is a VC-backed plant biotech start-up, discovering how to make crops resistant to disease using gene editing. We fix the immune system of crop species. We have a unique pipeline and platform for discovering resistance genes in crops which have been defeated by pathogens and pests. We then resurrect (restore) those resistance genes to make the crop resistant again, without introducing any new DNA to the crop.<br> <br>We’re focussed on delivering for the world’s farmers a better way to protect their plants, using the crop's own immune system instead of spraying chemicals. This will enable them to increase food production, reduce land for agriculture and help mitigate climate change.<br> <br>In December 2021, Resurrect Bio was spun out of the top institute for molecular plant microbe interactions, The Sainsbury Lab, Norwich. Since then, we have attracted financial support from several renowned VCs, as well as UK Government grant funding.<br> <br><strong>This role</strong>
</div>
<div>You will assist the dry lab team at Resurrect Bio in levelling up our Protein-Protein interaction AI prediction tool, FloraFold®. </div>
<div> </div>
<div>The role will require:</div>
<ul>
<li>Fine-tuning, optimisation, and deployment of 3D protein structure predictions models</li>
<li>Integrating experimental data to improve structure-based functional inference</li>
<li>Optimise GPU/Cloud workflows for large-scale model fine-tuning and high-throughput structure prediction</li>
<li>Working closely with experimental biologists to validate model predictions in the lab</li>
<li>Assisting with non-AI computational projects and bioinformatics</li>
<li>Investigate and implement novel training strategies and protein interaction scoring capabilities</li>
<li>This is a hands-on role suited to someone comfortable writing code, training models, and helping us define our product roadmap. The computational team is integral to Resurrect Bio and is small but growing.</li>
<li>The role can be hybrid or based at our lab in White City, London. </li>
</ul>
<div>This list is not exhaustive, as is often the case in a startup. However, we temper our expectations based on the seniority of the role, post-PhD or similar. If you are very confident in your ability and can demonstrate significant experience, we are also advertising a Senior AI Scientist role.</div>
<div> </div>
<div><strong>What we offer</strong></div>
<ul>
<li>£55-70k salary dependent on experience</li>
<li>Share options in Resurrect Bio</li>
<li>10% annual bonus on your base salary, when the company hits milestones</li>
<li>34 days of annual leave, including bank holidays</li>
<li>Pension plan</li>
<li>Private medical insurance</li>
<li>35 hours per week, Monday - Friday</li>
</ul>
<div><strong>Required skills</strong></div>
<ul>
<li>Proficiency in Python and libraries used in AI applications (e.g., PyTorch, JAX,<br>Tensorflow)</li>
<li>Strong data analysis and engineering capabilities, including working with large-scale<br>biological datasets and building robust data pipelines</li>
<li>Understanding of protein structure, folding, and sequence-structure relationships</li>
<li>Ability to translate computational predictions into biological insights</li>
<li>Excellent communication skills with ability to present complex research findings to<br>both technical and non-technical audiences</li>
</ul>
<div><strong>Nice to have</strong></div>
<ul>
<li>Experience with workflow management tools like Nextflow</li>
<li>Familiarity with HPC/Cloud computing (we use GCP)</li>
<li>A background in Structural Biology</li>
</ul>
<div>
<strong>Qualifications/Experience</strong><br>A PhD in a directly relevant discipline (e.g., Computational Biology, Machine Learning, Bioinformatics with a strong emphasis on protein engineering). We will consider candidates with an MSc and 3+ years of direct experience.<br> <br><strong>Application process</strong><br>This role uses blind recruitment practices to reduce unconscious bias in our hiring process. The system identifies information such as names, photos, and personal details that are removed during initial screening to ensure candidates are evaluated solely on their skills and experience. We are an equal opportunities employer committed to building a diverse and inclusive workplace.<br> <br>Applications are open on a rolling basis and may be closed at any time.<br> </div>