At a Glance
- Tasks: Lead bioinformatics analysis and develop strategies for biomarker discovery.
- Company: Cutting-edge biotech firm in Cambridge focused on multi-omic platforms.
- Benefits: Competitive salary, share options, private healthcare, and flexible hybrid working.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact in biotechnology and shape the future of healthcare.
- Qualifications: PhD in bioinformatics or related field with 6+ years of experience.
The predicted salary is between 70000 - 90000 £ per year.
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 of 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)
Principal Bioinformatician in Cambridge employer: Integratedcooling
Tagomics is an exceptional employer, offering a dynamic work environment in the heart of Cambridge's thriving biotechnology sector. With a strong focus on employee growth, we provide opportunities for professional development through mentorship and collaboration with leading scientists, while our competitive salary, share option scheme, and flexible hybrid working arrangements ensure a rewarding and balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Bioinformatician in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the bioinformatics field, attend industry events, and engage with professionals on platforms like LinkedIn. We all know that sometimes it's not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NGS data analysis or epigenetic profiling. We recommend including any relevant publications or presentations to demonstrate your expertise and make you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both scientists and engineers. We suggest doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Tagomics. Don’t hesitate to follow up after applying to express your enthusiasm!
We think you need these skills to ace Principal Bioinformatician in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Principal Bioinformatician. Highlight your experience with NGS data analysis and any relevant projects that showcase your expertise in epigenetics and multi-omic datasets.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for our team. Share your passion for bioinformatics and how your skills align with our mission at Tagomics. Don’t forget to mention any leadership experience you have!
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of your work with Python or R, especially in relation to NGS and epigenetic analysis. This will help us understand your coding standards and analytical capabilities.
Apply Through Our Website:For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at Integratedcooling
✨Know Your Bioinformatics Inside Out
Make sure you brush up on your knowledge of NGS and epigenetic analysis. Be ready to discuss specific projects you've worked on, especially those involving ATAC-seq or ChIP-seq. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since this role involves line managing a small team, be prepared to talk about your management style and how you've supported the development of other scientists in the past. Share examples of how you've led cross-functional teams to success.
✨Demonstrate Your Analytical Thinking
Be ready to discuss how you approach study design and analytical strategy. Think of specific instances where your insights led to significant findings or improvements in workflows. This will highlight your ability to translate computational insights into clinically relevant outputs.
✨Communicate Effectively
This role requires collaboration with laboratory scientists and engineers, so practice explaining complex bioinformatics concepts in simple terms. Prepare to discuss how you've successfully communicated findings to non-technical stakeholders in the past.
