Senior Bioinformatician / Computational Biologist - Drug Safety

Help build the future of drug safety monitoring

Drug-induced toxicity remains one of the biggest causes of drug-development delay, clinical failure and patient harm. Current monitoring is often insensitive, organ-specific and reliant on damage becoming clinically apparent. We think there is a better way.

Tagomics is a Cambridge-based biotechnology company developing a next-generation multi-omic biomarker platform. Originating from pioneering research by Dr Robert Neely and colleagues at the University of Birmingham, our proprietary technology captures epigenetic features from circulating cell-free DNA that, when combined with advanced bioinformatics, let us detect and localise tissue injury across multiple organs, giving drug developers earlier and more biologically precise insight into treatment-related toxicity.

With successful proof-of-concept programmes behind us and pharmaceutical partners already engaged, we are building towards our first commercial products at Babraham Research Campus.

Read our recent scientific paper

https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(25)00223-1

The role

We are looking for a Senior Bioinformatician to join our drug safety programme. You will own analyses from cell-free DNA sequencing data through to biological interpretation as well as develop and refine the methods that turn epigenetic signals into tissue-injury biomarkers. The role reports to our Principal Bioinformatician, a position we are recruiting in parallel.

This is a hands-on role with real influence over how our analytical approaches evolve. As the programme grows, you will also work with our pharmaceutical partners: preparing and presenting results, and making sure our analyses answer the questions partners actually need answered.

What you'll be doing

• Do the science
• Build, apply and evaluate computational methods for epigenetic markers from cell-free DNA
• Own analyses end to end for defined studies, from QC and processing through statistical analysis to interpretation
• Contribute to toxicity biomarker discovery and refinement
• Adapt or write bioinformatics software alongside our software engineering team where existing tools fall short
• Turn results into clear, well-documented outputs for internal and partner audiences
• Shape the studies
• Contribute to experimental design, including power and sample size, batch effects and appropriate controls
• Translate study objectives into concrete analysis plans, and flag early when the data won't answer the question
• Work with laboratory colleagues to understand and improve assay performance
• Work with partners
• Join technical discussions with pharmaceutical and biotech partners, alongside our Programme Lead
• Prepare and present analyses to partner scientists
• Explain clearly what the data can and can't tell them
• Keep standards high
• Write tested, reproducible, version-controlled code and contribute to team standards
• Review colleagues' code and analyses, and support less experienced team members
• Contribute to publications, IP and conference presentations

What we're looking for

Essential

• PhD in bioinformatics, computational biology or a related field, followed by at least 3 years' experience in industry or academia
• Strong, current, hands-on coding in Python and/or R: you write substantial analytical code every week
• In-depth knowledge of at least one sequencing-based omics technology
• Experience applying statistical modelling or machine-learning methods to complex biological datasets
• Experience developing, adapting or substantially extending computational methods or tools
• Ability to run analyses independently and manage your own work across concurrent projects
• Ability to communicate complex results clearly to both specialist and non-specialist audiences

Nice-to-have

• Python as your main language
• Experience analysing epigenetic and/or transcriptomic datasets (e.g. MeDIP-seq, ATAC-seq, ChIP-seq, WGBS, RNA-seq)
• Knowledge of liquid biopsy, cell-free DNA, toxicology, clinical studies or the drug development life cycle
• Knowledge of software engineering best practices: testing, code review, version control
• Experience working with external partners, customers or collaborators
• Experience in multi-disciplinary teams, including with laboratory members
• Startup, biotech or pharma experience

Who you are

• You love solving problems and getting your hands dirty fixing them, alongside your team
• You are rigorous about what the data does and doesn't support, and comfortable saying so
• You can explain a complex result at the right level for your audience, from a five-minute summary for a commercial partner to a deep technical discussion with a bioinformatician
• You want to work on a brand-new technology that can change how drug toxicity is detected and monitored, with all the challenges that brings

Our hiring process

• Online screening call: your experience, goals and questions about the role
• Online technical interview: technical questions and a presentation of a take-home bioinformatics challenge, where we can see how you might tackle a problem. We expect this would take up to 3 hours to prepare.
• In-person team interview: meet leadership and your future colleagues

What we offer

• Competitive salary
• Share option scheme
• Matched pension contributions up to 8%
• Private healthcare with Aviva
• Performance-related bonus scheme
• Flexible hybrid working (minimum 2 days per week on-site)
• 25 days holiday plus bank holidays, and a discretionary 3-day Christmas shutdown
• 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.
• We are not currently able to sponsor visas for this role. Applicants must have the right to work in the UK. No agencies please.
• Tagomics is committed to building a diverse and inclusive team.