At a Glance
- Tasks: Lead bioinformatics strategy and manage a team to drive biomarker discovery.
- Company: Innovative biotech firm transforming disease understanding with cutting-edge technology.
- Benefits: Competitive salary, share options, private healthcare, and flexible hybrid working.
- Other info: Join a diverse team and contribute to groundbreaking scientific research.
- Why this job: Make a real impact in healthcare by advancing multi-omic biomarker discovery.
- Qualifications: PhD in bioinformatics or related field with extensive industry experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
Principal Bioinformatician employer: Tagomics
Tagomics is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work environment that fosters innovation and collaboration in the biotechnology sector. With a strong focus on employee growth, we provide opportunities for professional development through mentorship and hands-on leadership roles, alongside competitive benefits such as a share option scheme and private healthcare. Our commitment to diversity and inclusion ensures that every team member can contribute meaningfully to our mission of transforming biomarker discovery and advancing healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Bioinformatician
✨Tip Number 1
Network like a pro! Reach out to people in the bioinformatics field, especially those at Tagomics or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for those interviews! Brush up on your NGS data analysis skills and be ready to discuss your experience with epigenetic datasets. We want to see how you can apply your knowledge to real-world problems.
✨Tip Number 3
Show off your leadership skills! If you've managed teams before, be sure to highlight that experience. Tagomics values collaboration, so share examples of how you've mentored others in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Tagomics. Let's make it happen!
We think you need these skills to ace Principal Bioinformatician
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Principal Bioinformatician role. Highlight your expertise in NGS data analysis and any relevant projects you've worked on, especially those involving epigenetics or machine learning.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about bioinformatics and how your background aligns with our mission at Tagomics. Don’t forget to mention your experience in leading teams and driving scientific projects.
Showcase Your Technical Skills:Since this role involves advanced computational approaches, be sure to detail your proficiency in Python and R. Include specific examples of how you've applied these skills in past roles, particularly in relation to biomarker discovery or multi-omic data integration.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Tagomics
✨Know Your Bioinformatics Inside Out
Make sure you brush up on your bioinformatics knowledge, especially around NGS data analysis and epigenetic profiling. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Leadership Skills
Since this role involves line management, be prepared to talk about your experience in leading teams. Share examples of how you've mentored others, built team capabilities, and contributed to a positive team culture. Highlighting your leadership style will resonate well with the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and computational approaches. Brush up on your Python and R skills, and be ready to discuss how you've applied these in real-world scenarios. Practising coding problems or discussing your analytical strategies can give you an edge.
✨Align with Their Vision
Research Tagomics and their biomarker discovery platform thoroughly. Understand their mission and how your background aligns with their goals. Being able to articulate how you can contribute to their vision will demonstrate your genuine interest in the role and the company.
