Computational Biologist
Cyted
| Company | Cyted |
| Category | Science & Research |
| Location | Cambridge |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Mid |
| Salary | Not stated by the employer |
| Posted | 13 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (personio) |
Description
We’re Cyted - a pioneering gastrointestinal health diagnostics company enabling more patients early access and detection for esophageal cancer and Barrett’s esophagus. Our technology brings a minimally invasive diagnostic approach to market - our EndoSign test combines a swallowable pill-like device with advanced biomarkers and analytics to help detect disease earlier and faster. What started as an idea between a health-tech entrepreneur and leading clinical scientists at Cambridge University has quickly grown into an international company operating across the UK and US, backed by investors such as EQT Life Sciences and a $44M Series B investment. But we still work like a startup - because we are one. Things move quickly here and we build as we go. Some days you’ll be solving problems first of their kind with innovative approaches. Other days you’ll just need to roll your sleeves up and get things done. That’s the reality of building a company that’s growing fast and trying to genuinely change patient outcomes. We’re a small, highly collaborative team, which means your work matters. We have the trust and belief from our investors so you won’t disappear into layers of hierarchy or spend months waiting for decisions. If you have a good idea, we want to hear it, regardless of your role or title. We like people who are curious, adaptable, thoughtful, and always willing to learn and improve. This isn’t a polished corporate environment where everything already exists. We’re building processes, teams, products and ways of working in real time. Every day is different. If the idea of helping build something ambitious from the ground up excites you - and you want your work to have a real-world impact on people’s lives - we’d love to hear from you. Our recruitment process runs through four stages and we interview on a rolling basis. Each stage has its own purpose. As we have grown, we have made each contact point based on candidate feedback, making sure you actually get a helpful insight into Cyted. We want to give you the most open & true snapshot of us no matter the role. Initial conversation – Run by Maddie from our People team, this is a relaxed online chat so we can learn more about you and your background, and so you can learn more about us too. Line manager interview – This online chat explores the role in more detail through scenario-based and role-specific questions to see how you would bring your skills and knowledge into Cyted. Team interview & assessment – To meet the wider team and see how we work in-person, we like to involve a panel of team members to listen to your ideas in either a presentation or assessment format. Final Interview – Marcel, our CEO, still speaks to every new potential employee. In this online meeting, you will get to discuss your goals and explore how they align with the company’s history and future vision. This is a pivotal year for Cyted’s R&D function. As our US molecular diagnostic test enters final validation and early commercialisation, we are scaling rapidly - clinically validating assays for the US market, developing next-generation sequencing classification models, and expanding our diagnostic portfolio. To support this, we have just launched our brand-new UK molecular laboratory onsite at our head office. We are looking for someone dedicated to helping translate cutting-edge science and data into real-world patient impact. Drawing from our ~2000 internal samples, you will contribute to combining advanced assay development with our UK-based molecular lab infrastructure and capabilities, enabling scalable, high-quality testing to support US operations and accelerate adoption. As a Computational Biologist, you will design and develop algorithms that integrate genomic, epigenetic and multi-omics data with clinical records to improve diagnostic accuracy, track disease progression, and ide
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