Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Bioinformatician / Senior Bioinformatician

Tagomics
Cambridge
6 months ago
Applications closed

Related Jobs

View all jobs

Solution Consultant - IT & Data Science

Data Scientist (ML/AI)

Data Scientist (ML/AI)

Solution Consultant - IT & Data Science (EMEA)

Full time, 2 year contract, hybrid (1 day a week in the office)


About Tagomics:

Tagomics has developed a ground-breaking multiomic biomarker discovery platform that offers a step change in genomics-based disease profiling and diagnosis.

 

Originating from the pivotal research of Dr. Robert Neely and his team at the University of Birmingham, Tagomics' proprietary technology unlocks DNA-based disease-associated biomarkers spanning genetic, epigenetic, and fragmentomic features. In combination with advanced bioinformatic and machine learning approaches we can provide unique biological insights, and we already have exciting results from a range of cancer patient samples including blood and tissue.


Learn more about our technology from our recent scientific paper - http://tinyurl.com/TagomicsPaper


As we gear up for the next phase of our journey, having secured £6.7m in investment to further develop our platform, we have moved to new labs and offices at Illumina Ventures Lab at Granta Park Research Campus near Cambridge as we work towards unveiling our first commercial product.


Learn more about Tagomics and its investors here - http://tinyurl.com/Tagomics


Tagomics invites a Bioinformatician to join our multidisciplinary team to make a lasting contribution to a unique technology that will transform our understanding of disease and diagnosis.


About the role:

We are looking for a bioinformatician to contribute to the analysis and interpretation of NGS data, generated using our unique epigenetics platform, as well as to develop ways to create patient epigenetic profiles and discover novel biomarkers for both diagnostics and prognostics. You will gain exposure to cutting edge computational epigenetics and machine learning approaches and explore the latest bioinformatic developments for biomarker discovery, NGS and epigenetic data analysis. We encourage applicants that don’t meet all requirements or those that have had non-traditional career paths to apply, as diversity builds better teams. We will provide you with support to help you do your best work and make an impact.


Your background will include:

  • A Ph.D. in bioinformatics and/or epigenetics
  • Experience in handling and processing NGS datasets (such as WGS, Exome sequencing, RNA-seq etc), including raw data quality control, alignment and processing as well as analysis and interpretation
  • Familiarity with data visualization and analytics tools
  • Comfortable coding in either Python or R


It would be great if you had:

  • Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc
  • Experience in analysing ‘omics datasets for biological interpretation and actionable insights. 
  • Scientific domain expertise in epigenetics, cancer genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed journals
  • Familiarity with cloud environments and bioinformatics pipelines (e.g. Nextflow)
  • Familiarity with machine learning algorithms
  • Familiarity with variant calling packages and/or gene panels


We are a small but rapidly expanding company – by joining us early in our journey you will gain exposure to the various facets of start-up life and have a unique chance to contribute to our technology and influence our company culture. As we expand this role has excellent personal development opportunities.  


The role is hybrid (minimum 1 day a week in the office at Granta Park, Cambridge). We offer:

  • Competitive salary
  • Matched pension contributions up to 8%
  • Private healthcare
  • Performance related bonus scheme 


We offer flexible working and believe in maintaining a sustainable work-life balance. Our modern offices at Granta park are lift accessible and have ample on-site parking as well as bike stands. The campus has a shuttle bus that runs to Cambridge and Whittlesford train stations, an onsite nursery, gym, restaurant and coffee shop. 


We are not currently sponsoring visas for this position. You will need to be able to legally work in the UK. 


No agencies please- we will not be accepting speculative CV's for this opening. 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.