At a Glance
- Tasks: Lead analysis of clinical datasets and develop bioinformatics workflows.
- Company: Join a growing Clinical Bioinformatics team in Slough, UK.
- Benefits: Hybrid working, relocation support, and opportunities for scientific publications.
- Other info: Ideal for those passionate about disease biology and advanced data analysis.
- Why this job: Make a real impact by translating complex data into actionable insights.
- Qualifications: MSc or PhD in Bioinformatics with 7+ years of relevant experience.
The predicted salary is between 70000 - 90000 £ per year.
We are hiring a Principal Clinical Bioinformatician to join a growing Clinical Bioinformatics team based in Slough, UK. This role is ideal for someone who combines deep technical expertise in omics analysis with the ability to generate meaningful biological insights from complex clinical datasets. You will play a key role in supporting clinical assets through advanced analysis of patient-level molecular data, helping to better understand disease biology, treatment effects, and mechanisms of action.
Key responsibilities include:
- Leading analysis of large-scale bulk and single-cell RNA-seq datasets from clinical studies
- Developing bespoke bioinformatics workflows and analytical methods
- Applying advanced interpretation approaches including pathway analysis, causal reasoning, and machine learning methods
- Delivering reproducible, well-documented analyses using modern computational best practices
- Communicating complex findings clearly to both technical and non-technical stakeholders
- Contributing to scientific publications, presentations, and cross-functional collaborations
We are looking for candidates with:
- MSc or PhD in Bioinformatics, Computational Biology, Genomics, or related field
- 7+ years of relevant post-study experience, ideally within biotech or pharma
- Strong expertise in transcriptomics and multi-omics data analysis
- Excellent programming skills in R and related bioinformatics tools
- Experience working in Unix/HPC and cloud computing environments
- Strong statistical, data visualisation, and scientific communication skills
- Additional experience in spatial omics, epigenomics, proteomics, containerisation technologies, or clinical trial datasets would be highly valued.
This is a UK-based role with hybrid working (approximately 2 days onsite per week in Slough). Relocation support can be considered for international candidates. If you are passionate about translating complex biological data into actionable clinical insights, we would love to hear from you.
Principal Clinical Bioinformatician in London employer: BioTalent
Join our dynamic Clinical Bioinformatics team in Slough, where we foster a collaborative and innovative work culture that prioritises employee growth and development. As a Principal Clinical Bioinformatician, you will have the opportunity to lead cutting-edge research while enjoying a hybrid working model that promotes work-life balance. With access to advanced resources and a commitment to scientific excellence, we empower our employees to make meaningful contributions to healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Clinical Bioinformatician in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Principal Clinical Bioinformatician role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your best work, especially any projects involving RNA-seq datasets or machine learning methods. This will help us see your expertise in action and make you stand out during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of omics analysis and be ready to discuss how you've applied advanced interpretation approaches in past roles. We want to hear about your experiences and how they relate to our needs.
✨Tip Number 4
Don’t forget to 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 proactive about their job search.
We think you need these skills to ace Principal Clinical Bioinformatician in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in omics analysis and bioinformatics. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical bioinformatics and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:We’re looking for strong programming skills in R and experience with data analysis tools. Be sure to mention any specific projects or experiences that demonstrate your expertise in these areas!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at BioTalent
✨Know Your Stuff
Make sure you brush up on your technical expertise in omics analysis. Be ready to discuss your experience with RNA-seq datasets and any bespoke workflows you've developed. This is your chance to showcase your deep understanding of the subject!
✨Communicate Clearly
Since you'll be communicating complex findings to both technical and non-technical stakeholders, practice explaining your work in simple terms. Use examples from your past experiences to illustrate how you've made complex data accessible to different audiences.
✨Showcase Your Collaboration Skills
Highlight your experience in cross-functional collaborations. Be prepared to discuss how you've worked with other teams or contributed to scientific publications. This will demonstrate your ability to work well in a team-oriented environment.
✨Prepare for Technical Questions
Expect some technical questions related to programming in R, statistical methods, and data visualisation. Brush up on these areas and think of specific projects where you've applied these skills. Being able to discuss your approach to problem-solving will impress the interviewers.
