Data Engineer

About Us

We are 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, we are expanding our pipeline to address new high-impact targets across gastroenterology and related fields. You’ll join a close-knit team of experts in our field who collaborate daily to translate breakthrough ideas into real-world solutions.

At Cyted Health, 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:

• Initial Conversation – An online meeting with a member of our People team or the hiring manager to learn about your skills & experiences and for you to explore what it is like to work with us.

Team Interview & Assessment – Meet the wider team, sometimes accompanied by an assessment, such as giving a short presentation based on a topic related to the role.

Final Interview – An online meeting with our CEO to discuss your goals and the company’s history and vision.

Job Summary

As a Data Engineer (Bioinformatics) at Cyted, you’ll build the data infrastructure that powers our diagnostics and research. You’ll transform experimental workflows into reliable, production-grade data pipelines, implementing reproducible ingestion and analysis processes (primarily using Nextflow) and developing automation and orchestration for both operational and research workloads.

You’ll establish strong data governance and observability practices, ensuring datasets are versioned, catalogued, and fully traceable from source to output. Security and compliance will be embedded in everything you design, meeting the standards required for regulated healthcare and diagnostics environments.

You’ll work closely with computational biologists in R&D and software engineers in the Technology team to translate scientific and product requirements into scalable, maintainable solutions. Alongside delivery, you’ll maintain clear technical documentation, contribute to code reviews, and help raise engineering standards across the team.

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 Data Engineer (Bioinformatics) will be based at Cyted’s Head Office, Ground Floor Building 3 Old Swiss, 149 Cherry Hinton Road, Cambridge, United Kingdom, CB1 7BX.

What You Will Be Doing

Pipeline Design and Development

• Build, maintain, and optimise scalable data ingestion and analysis pipelines using workflow engines such as Nextflow.
• Translate scientific and analytical prototypes into robust, reproducible, and automated workflows suitable for production use.
• Create modular, testable components and establish clear versioning to ensure reproducibility across environments.
  
  

Data Architecture and Governance

• Design and maintain data models, storage solutions, and metadata catalogues that support efficient querying and lineage tracking.
• Implement and enforce data governance practices, including data classification, retention policies, and access control frameworks.
• Maintain comprehensive lineage tracking (e.g., with OpenLineage or equivalent) and ensure auditability of all datasets.
  
  

Document systems and processes through runbooks, design specifications, and operational guides.

Contribute to code reviews, internal knowledge-sharing sessions, and cross-functional project planning.

Innovation and Continuous Improvement

• Evaluate and integrate new technologies to improve data processing, observability, and scalability.
• Identify and remove bottlenecks in the data lifecycle — from ingestion to reporting — to accelerate insight generation.
• Support the adoption of modern DevOps and MLOps approaches for scientific and product data pipelines.
  
  

How We Work

At Cyted, how we work is just as important as what we’re building. Our values shape how we collaborate, innovate, and deliver for patients and partners. As our Data Engineer, you’ll bring these values to life from day one.

We care deeply about data integrity, patient outcomes, and the clinicians who rely on our insights. In this role, care means building systems that are accurate, traceable, and resilient - because real people depend on the results we generate. You’ll take pride in clean code, reproducible pipelines, and the knowledge that every dataset you shape contributes to earlier, better diagnosis.

We expect you to own

the work and contributions to your functions with confidence and curiosity. You’ll be responsible for designing and maintaining the infrastructure that connects our science, operations, and technology. You’ll take initiative, move with purpose, and be trusted to make critical decisions that keep our data ecosystem secure, scalable, and compliant.

We aim high. We’re scaling fast, working across complex regulated environments, and pushing boundaries in how data accelerates diagnostics. You’ll be empowered to build with ambition - optimising workflows, streamlining automation, and helping define what great data engineering looks like in healthcare.

You’ll be expected to dive deep into the science, the systems, and the standards. You’ll understand the technical and regulatory nuance behind every workflow, and you’ll be just as comfortable debugging a Nextflow pipeline as you are explaining architecture decisions to cross-functional teams. You won’t just maintain systems, you’ll actively improve them.

We encourage everyone to challenge and commit. You’ll help shape how we work as a data-led company, questioning assumptions, sharing ideas, and being open to better ways. But once we align, you’ll deliver with clarity, ownership, and precision.

And most of all, we deliver

. This is a role for someone who thrives on progress, who builds with intent and sees impact in every successful workflow run, every insight delivered, and every patient outcome improved.

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.

Person Specification

We’re looking for a skilled, proactive Data Engineer who’s ready to build and scale the infrastructure that powers our scientific and operational insights. The ideal candidate will bring experience working with complex, regulated datasets, a strong grasp of modern data engineering tools and best practices, and the curiosity to solve problems at the intersection of biology and technology. You’ll be hands-on, adaptable, and motivated to design systems that are reliable, compliant, and built to grow in a fast-paced, purpose-driven environment.

To succeed in this role, you’ll bring:

• A degree in Computer Science, Bioinformatics, Computational Biology, or a related field—or equivalent practical experience
• 2–3 years of industry experience working in a regulated data environment (e.g., biotech, healthtech, or clinical diagnostics)