Computational Biologist
Job Summary
Our technology brings a minimally invasive diagnostic approach to market - ourEndoSigntest 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 youll be solving problems first of their kind with innovative approaches. Other days youll just need to roll your sleeves up and get things done.
Thats the reality of building a company thats growing fast and trying to genuinely change patient outcomes.
Were a small highly collaborative team which means your work matters. We have the trust and belief from our investors so you wont 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 isnt a polished corporate environment where everything already exists. Were 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 peoples lives - wed 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 this online meeting you will get to discuss your goals and explore how they align with the companys history and future vision.
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.
The Computational Biologist will be based 3 days a week at the Cyteds Head Office Ground Floor Building 3 Old Swiss 149 Cherry Hinton Road Cambridge United Kingdom CB1 7BX.
- Designing and developing innovative algorithms to interpret epigenetic profiles genetic variants and gene expression for the early detection of GI cancers and inflammatory conditions.
- Building predictive models that integrate clinical demographic and molecular sequencing data to stratify patients by disease risk and support clinical decision-making.
- Exploring internal and public datasets to identify new signals and opportunities for disease detection and patient monitoring.
- Translating computational insights into robust clinically deployable diagnostic tools used in real-world healthcare settings.
- Collaborating with Data Engineering Software Engineering and Product teams to ensure models are scalable reliable and embedded into clinical workflows.
- Collaborating with NHS UK and US academic and industry partners to support research and translational initiatives.
- Communicating findings through publications presentations and contributions to the wider scientific and clinical communities.
- Adapting to the evolving needs of our molecular models products and multidisciplinary teams
- 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
Wecare deeply about the patients we serve and the clinicians we this role care means keeping patient outcomes at the centre of every model you build and every dataset you explore. Youll 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 youre refining an algorithm or interpreting results youll ensure your work is grounded in improving early detection supporting clinical decision-making and ultimately delivering better outcomes for patients.
We expect you toown your role with confidence and accountability. Youll take responsibility for supporting development and refinement of models that integrate genomic epigenetic and clinical data and youll see that work through from concept to application. Youll 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.
Weaim high. Were scaling quickly advancing our diagnostic portfolio and operating in a space where the science is complex and rapidly evolving. Youll 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.
Youll be expected todive deep - into the data the biology and the clinical context. Youll develop a strong understanding of cancer biology and GI disease and apply that knowledge to interpret complex datasets and generate meaningful insights. Youll 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 tochallenge and commit. Youll 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 youll execute with focus and alignment ensuring progress and delivery in a fast-moving environment.
And most of all wedeliver. This is a role where your work will move quickly from research into real-world clinical use. Youll 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 youll do your best work wed love to speak with you.
- 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
Required Experience:
IC
About Company
Cyted is on a mission to build a world where disease is prevented rather than treated. We focus on providing innovative diagnostic technologies to drive the earlier detection of disease in the gastrointestinal tract, first focused on oesophageal cancer (and its precursor Barrett’s oes ... View more