Principal Bioinformatician in Peterborough

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. 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.

This hands‑on senior scientific position within our Computational Technology team reports to the Director of Computational Technology. The successful candidate will help set the bioinformatics strategy, lead analytical programmes that drive our biomarker discovery platform, and translate computational insights into clinically relevant outputs.

Key responsibilities include:

• Leading bioinformatic analysis of NGS datasets, ensuring robustness, scalability, and reproducibility across all workflows
• Helping to set the bioinformatics strategy for the platform, defining the analytical direction across programmes
• Developing and optimising methods for epigenetic profiling and biomarker discovery, including integration of multi-omic data
• Providing technical leadership across R&D programmes: study design, analytical strategy, and interpretation of results
• Applying machine learning and advanced computational approaches to epigenetic and multi-omic datasets
• Collaborating closely with laboratory scientists and engineers to define requirements and shape experimental direction
• Line managing and mentoring a team of 2–3 bioinformaticians, building capability across the team
• Contributing to scientific publications and conference abstracts, IP development, and presenting findings to external partners

Essential:

• PhD in bioinformatics, computational biology, epigenetics, genetics, or a related discipline
• At least 6 years of industry or equivalent academic experience in bioinformatics
• Proven expertise in NGS data analysis (WGS, RNA‑seq, exome) including QC and interpretation
• Experience with epigenetic datasets such as ATAC‑seq, ChIP‑seq, WGBS, MeDIP‑seq or similar
• Proficient in data analysis using Python and/or R, with high coding standards
• A track record of delivering in cross‑functional scientific teams
• Demonstrated line management experience, with a track record of developing and supporting other scientists

Desirable:

• Domain expertise in epigenetics or cancer genomics, with peer‑reviewed publications
• Familiarity with machine learning applied to biological data
• Cloud computing experience, preferably AWS
• Experience in biomarker discovery and/or product development
• Previous experience in early‑stage biotech environments

Our Hiring Process:

• Online screening call – a 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
• In‑person team interview – meet 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 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.