Job Summary
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 identify patients at highest risk. You will collaborate closely with our Data Engineering, Software Engineering, and Product teams to ensure models are robust, deployable, and embedded into clinical workflows, directly contributing to advancing personalised, proactive care.
Joining this at this opportunity of real momentum, your work will move quickly from research into real-world clinical impact, bringing earlier detection and better outcomes to patients with gastrointestinal disease.
Working Pattern and Location
The role is a full-time position with a standard 37.5 hour working week. The role holder may be required to work flexibly.
The Computational Biologist will be based 3 days a week at the Cyted’s Head Office, Ground Floor Building, 3 Old, Swiss, 149 Cherry Hinton Road, Cambridge, United Kingdom, CB1 7BX.
How we work
At Cyted, how we work is just as important as the impact we create. Following our recent Series B fundraise and with increasing international momentum, we’re entering a defining stage of growth - and our values guide how we scale. As a Computational Biologist, you’ll bring these values to life from day one, translating complex data into meaningful clinical impact.
We care deeply about the patients we serve and the clinicians we support. In this role, care means keeping patient outcomes at the centre of every model you build and every dataset you explore. You’ll approach your work with scientific rigour and curiosity, but also with a clear understanding of the real-world context your outputs will be used in. Whether you’re refining an algorithm or interpreting results, you’ll ensure your work is grounded in improving early detection, supporting clinical decision-making, and ultimately delivering better outcomes for patients.
We expect you to own your role with confidence and accountability. You’ll take responsibility for supporting development and refinement of models that integrate genomic, epigenetic, and clinical data, and you’ll see that work through from concept to application. You’ll proactively identify opportunities in complex datasets, take initiative in solving problems, and collaborate closely with cross-functional teams to ensure your work is robust, reproducible, and impactful.
We aim high. We’re scaling quickly, advancing our diagnostic portfolio, and operating in a space where the science is complex and rapidly evolving. You’ll be trusted to develop innovative approaches to multi-omics analysis, improving diagnostic accuracy, and helping define what great looks like in a new generation of molecular diagnostics. Your technical expertise and scientific insight will help set the bar as we grow.
You’ll be expected to dive deep - into the data, the biology, and the clinical context. You’ll develop a strong understanding of cancer biology and GI disease, and apply that knowledge to interpret complex datasets and generate meaningful insights. You’ll be just as comfortable building models as you are explaining their outputs, collaborating with engineers, product teams, and scientific partners to ensure your work translates effectively into clinical tools.
We encourage everyone to challenge and commit. You’ll play an active role in shaping how we work - contributing ideas, questioning assumptions, and continuously improving our approaches to modelling and analysis. At the same time, once a direction is set, you’ll execute with focus and alignment, ensuring progress and delivery in a fast-moving environment.
And most of all, we deliver. This is a role where your work will move quickly from research into real-world clinical use. You’ll help build models that are not only innovative, but deployable - embedded into clinical workflows and used to support decision-making at scale. Every analysis you run, every model you develop, and every insight you generate will contribute to earlier detection and better outcomes for patients.
This is how we work at Cyted, and if this sounds like the environment where you’ll do your best work, we’d love to speak with you.
