Computational Biologist in Cambridge

About Us

Cyted Health is a leading gastrointestinal health company delivering minimally invasive diagnostics to transform access to esophageal care. Our EndoSign test combines a simple, swallowable device with cutting‑edge laboratory biomarkers and analytics to detect esophageal cancer and its precursor, Barrett’s esophagus. Operating across the US and UK life‑science hub, with hybrid, remote and onsite teams, Cyted is now entering a pivotal phase of growth. Backed by EQT Life Sciences and a $44M Series B investment, we are driving rapid commercial expansion in the US while continuing to scale across the UK.

You’ll join a close‑knit team of experts in our field who collaborate daily to translate breakthrough ideas into real‑world solutions. For us, every voice matters. Whether you’re in R&D, Commercialisation, Medical Affairs or Operations, you’ll have the chance to lead projects, influence strategy, and broaden your skill set across the company. We champion diverse backgrounds and perspectives, fostering an inclusive culture where everyone can thrive and innovate. If you’re inspired by purpose, motivated by challenge, and eager to make a meaningful impact on patient lives, we’d love to hear from you.

We usually recruit on a rolling basis with the following four stages:

• Initial Conversation – A virtual meeting with Maddie from our People team to learn more about your background, as well as give you an insight into Cyted and what it’s like to work with us.
• Line Manager Interview – A virtual interview with the hiring manager(s), focused on exploring the role in more detail through scenario‑based and role‑specific discussions.
• Team Interview & Assessment – An on‑site presentation or assessment, along with the opportunity to meet members of the wider team.
• Final Interview – An online meeting with our CEO to discuss your goals and the company’s history and 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.

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.

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
• Regular team socials, Winter & Summer parties, and an annual Team Day
• Company paid life insurance of 4x basic salary
• Electric Vehicle Scheme through salary sacrifice