Computational Biologist

Cyted

Cambridge • On-site • Mid-level • 08.07.2026

About Us

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.

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.

What you will be doing

Model Development

Design and develop innovative algorithms to interpret epigenetic profiles, genetic variants, and gene expression for early detection of GI cancers and inflammatory conditions.
Build predictive models that integrate clinical, demographic, and molecular sequencing data to stratify patients by disease risk and support clinical decision-making.
Explore internal and public datasets to identify new signals and opportunities for disease detection and patient monitoring.

Translation to Clinical Impact

Translate computational insights into robust, clinically deployable diagnostic tools used in real-world healthcare settings.
Work closely with Data Engineering, Software Engineering, and Product teams to ensure models are scalable, reliable, and embedded into clinical workflows.

Collaboration & Scientific Contribution

Collaborate with NHS, UK and US academic and industry partners to support research and translational initiatives.
Communicate findings internationally through publications, presentations, and contributions to the wider scientific and clinical communities.
Evolve with the needs of our molecular models and teams.

Who you are?

We’re seeking a confident, collaborative Computational Biologist to help advance our molecular diagnostic test during a period of rapid growth. You’ll bring strong expertise in computational biology and experience working with complex multi-omics and clinical datasets, alongside the ability to collaborate effectively across scientific, engineering, and clinical teams. Comfortable working independently, you’ll develop robust, scalable models and translate insights into real-world clinical applications. Hands-on, adaptable, and driven, you’ll thrive in a fast-paced, purpose-led environment, turning cutting-edge science into meaningful patient impact.

Therefore you will have:

A MSc or PhD in a quantitative or biomedical discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Physics, or related field)
Experience analysing large-scale genomic, epigenomic, or transcriptomic datasets
Strong understanding of cancer biology and/or upper GI disease
Proficiency in Python or R for statistical analysis and machine learning, with the ability to write clean, reproducible code
Experience developing and validating predictive models using real-world or clinical datasets
Ability to work with complex, multi-modal datasets and translate findings into actionable insights
Adaptability to work in a fast-paced, evolving environment, with the flexibility to adapt to changing priorities and timelines
Strong communication skills, with the ability to collaborate effectively across multidisciplinary teams

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.

Benefits

25 days’ holiday + public holidays with the ability to purchase up to 5 additional days
Matched pension contributions up to 7%
Company paid private health insurance with access to wellbeing and fitness discounts, including dental, optical and audiological cover
Paid 4 week sabbatical after 4 years of service
Company paid income protection of 75% base salary following a 13 week deferred period and company paid life insurance of 4x basic salary
Regular team socials, Winter & Summer parties, and an annual Team Day
Electric Vehicle and Cycle to Work Schemes through salary sacrifice

About Us

Job Summary

Working Pattern and Location

What you will be doing

Who you are?

How we work

Benefits

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