What does it look like when epigenetics, fragmentomics, and machine learning converge on a single diagnostic platform, and what does it take to drive the analyses that make it work?
Tagomics is a Cambridge-based biotechnology company developing a next-generation multi-omic biomarker discovery platform to transform how disease and drug safety are understood, measured, and monitored.
Originating from pioneering research by Dr Robert Neely and colleagues at the University of Birmingham, our proprietary technology integrates genetic, epigenetic, and fragmentomic features from circulating cell-free DNA. Combined with advanced bioinformatics and machine learning, this enables biological insight across applications including early cancer detection, drug safety and organ health monitoring.
With successful proof-of-concept programmes complete and new funding secured, we are now building towards our first commercial products. To achieve this, we are expanding our multidisciplinary team at Babraham Research Campus, one of Europe's leading life-science hubs.
Read our recent scientific paper here:
https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(25)00223-1
The Role
You will play a leading role in the analysis of genetic and epigenetic datasets generated using Tagomics’ proprietary multi-omics platform. The role will focus on applications leveraging cell-free DNA for disease detection in oncology. Working at the interface of research and product development, you will shape bioinformatics approaches across both exploratory R&D and the generation of robust, reusable analyses that underpin our products.
This is a role for someone who is ready to take on greater scientific and technical responsibility - someone who takes genuine ownership of complex multi-omic analyses, guides best practice across projects, and is motivated by work that has both scientific rigour and commercial impact. We are looking for someone who is motivated by interesting scientific questions, creative and tenacious in their pursuit of solutions, and a talent for communicating clearly to a broad audience.
What You'll Be Doing
- Evaluating and introducing emerging bioinformatics methods where they add genuine value
- Analysing sequencing and epigenetic datasets using Tagomics's established workflows, providing technical oversight to ensure consistency and quality across projects
- Driving the interpretation of multi-omic data to inform biomarker discovery in cancer detection
- Contributing to the development, optimisation, and review of computational pipelines, ensuring scalability and robustness as our R&D and product needs evolve
- Working closely with laboratory scientists, bioinformaticians, and engineers to contribute to experimental design, analytical strategy, and project direction
- Providing technical guidance to other bioinformaticians and supporting knowledge sharing across the team
- Maintaining high standards of documentation and reproducibility across Tagomics's codebase
What We're Looking For
Essential:
- PhD in bioinformatics, computational biology, epigenetics, genetics, or a related discipline, with at least 3 years of experience in industry or academia
- Experience in biomarker discovery for cancer detection, or experience in cancer research
- Proven expertise in NGS data analysis including QC and interpretation.
- Strong Python and/or R, with proven adherence to software development best practices and Git-based version control
- Familiar with cloud-based infrastructure, preferably AWS, and scalable computational workflows such as Nextflow
- Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders
Desirable:
- Experience in epigenetics, or related areas, with evidence of contribution to research
- Hands-on experience with epigenetic or multi-omic datasets and a track record of turning complex data into biological insights
- Experience in an industry or commercial bioinformatics environment
- Experience contributing to multidisciplinary teams including product, engineering, and commercial functions
Our Hiring Process
- Online screening call - an online conversation about your experience, goals, and questions about the role
- Online technical interview - technical questions and a short presentation on a take-home bioinformatics challenge with members of the technical team
- Team interview - meet in person with leadership and your future colleagues
What We Offer
- Competitive salary
- Share option scheme
- Matched pension contributions up to 8%
- Private healthcare
- Performance-related bonus scheme
- Flexible hybrid working (minimum 2 days per week on-site)
We're based at Babraham Research Campus, one of Europe's leading life-science hubs, with modern accessible offices, on-site parking, a gym, restaurant, and countryside on the doorstep.
Joining at this stage means genuine scientific influence over analytical strategy, platform direction, and a company with something real to build.
We are not currently able to sponsor visas for this role. Applicants must have the right to work in the UK.
No agencies please. We will not be accepting speculative CVs for this opening.
Tagomics is committed to building a diverse and inclusive team.
