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- Tasks: Lead the design and delivery of innovative bioinformatics pipelines using cutting-edge technologies.
- Company: Join a forward-thinking organisation in the heart of Hertfordshire.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in genomics while mentoring the next generation of scientists.
- Qualifications: MSc in Bioinformatics or related field with extensive cloud computing experience.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Job Overview: Senior Scientist – Bioinformatician (Data Analysis) – full‑time permanent – South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs.
Key Responsibilities:
- Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R).
- Manage cloud‑based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance.
- Perform quality control, statistical analysis and biological interpretation of multi‑modality NGS data in collaboration with cross‑functional teams.
- Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies.
Required Qualifications:
- MSc or equivalent in Bioinformatics, Computational Biology or related discipline.
- Extensive experience delivering large‑scale bioinformatics analysis using cloud computing environments.
- Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub).
- Strong project management skills and ability to communicate complex genomic data to diverse audiences.
Preferred Experience:
- Hands‑on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single‑cell analysis.
- Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments.
- Previous leadership of analytical components in multi‑stakeholder projects.
Assessment Method: A=Application, T=Test, I=Interview, P=Presentation – assessment will follow Civil Service Success Profiles.
Contact and Application: Closing date: 9 February 2026. Applications open online. For questions, email.
Senior Scientist – Bioinformatician (Data Analysis) in England employer: Mhra
Contact Detail:
Mhra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scientist – Bioinformatician (Data Analysis) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the bioinformatics field, attend relevant meetups or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and being ready to discuss your experience with NGS pipelines and cloud platforms. We recommend practising common interview questions and even doing mock interviews with friends or colleagues.
✨Tip Number 3
Showcase your projects! Whether it’s through a personal website or a GitHub profile, make sure to highlight your work with bioinformatics tools and data analysis. We want to see your hands-on experience and how you’ve tackled real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our company. So go ahead, hit that apply button!
We think you need these skills to ace Senior Scientist – Bioinformatician (Data Analysis) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Scientist – Bioinformatician role. Highlight your experience with NGS bioinformatics pipelines and cloud computing, as these are key for us. Use specific examples that showcase your skills in Python, R, and project management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about bioinformatics and how your background aligns with our needs. Mention any relevant projects or experiences that demonstrate your ability to lead and mentor others.
Showcase Your Technical Skills: We love seeing technical skills in action! If you have experience with Bash, Docker, or Nextflow, make sure to include those details. Consider adding links to any relevant projects or GitHub repositories to give us a better idea of your capabilities.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Mhra
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Nextflow, Python, and R. Brush up on your cloud computing knowledge, especially Google Cloud Platform, as you'll likely be asked about your experience managing bioinformatics infrastructure.
✨Showcase Your Project Management Skills
Prepare to discuss specific projects where you've led bioinformatics analysis or pipeline development. Highlight your project management skills and how you’ve communicated complex genomic data to different audiences. Real-life examples will make your answers stand out!
✨Mentorship Matters
Since mentoring junior bioinformaticians is part of the role, think about your past experiences in guiding others. Be ready to share how you’ve supported team members in their development and contributed to publications or grant proposals.
✨Prepare for Cross-Functional Collaboration
Expect questions about working with cross-functional teams. Reflect on your experiences collaborating with other departments and how you’ve integrated emerging technologies into your work. This will show your ability to work effectively in a team-oriented environment.
