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.