Tagomics, a Cambridge based biotechnology company developing a next generation multi omic biomarker discovery platform, is hiring a Senior Bioinformatics Lead. The Role
This is the hands on senior scientific position within our Computational Technology team, reporting to the Director of Computational Technology. You will help set the bioinformatics strategy, lead the analytical programmes that drive our biomarker discovery platform, and translate computational insights into clinically relevant outputs.
It's a role for someone who combines strong technical expertise in NGS and epigenetic analysis with the scientific judgement to shape R&D direction and the communication skills to bring laboratory scientists, engineers, and external partners along with them. You will line manage a small team bioinformaticians, contribute to study design and experimental strategy, and play a meaningful role in how the science evolves as we move towards commercial launch.
What You'll Be Doing
- 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, 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 where relevant, presenting findings to external partners
What We're Looking For
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
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)