Bioinformatician in Edinburgh

Bioinformatician in Edinburgh

Edinburgh Full-Time 30000 - 40000 € / year (est.) No home office possible
Kleboe Jardine Ltd

At a Glance

  • Tasks: Analyse NGS and omics datasets, develop data pipelines, and translate complex outputs into insights.
  • Company: Innovative early-stage biotech company in Edinburgh with a focus on computational biology.
  • Benefits: Flexible 4 or 5 day week, close mentorship, and dedicated learning time.
  • Other info: Genuine flexibility and rapid development opportunities in a dynamic team.
  • Why this job: Join a high-impact environment and contribute to meaningful projects from day one.
  • Qualifications: MSc/PhD in Bioinformatics, experience with Python/R, and strong communication skills.

The predicted salary is between 30000 - 40000 € per year.

We’re working with a highly innovative, early-stage biotech company based in Edinburgh, building a computational biology capability at the core of its scientific and commercial delivery. This is a hands-on role for a Bioinformatician who wants to develop quickly in a genuinely high-impact environment. You’ll work closely with an experienced Head of Bioinformatics and a multidisciplinary science team, contributing to both client-facing projects and internal research.

What you’ll be doing:

  • Analysing NGS and omics datasets across multiple projects
  • Supporting and developing data pipelines (Nextflow/Snakemake)
  • Working with cloud-based and Linux environments
  • Contributing to research workflows alongside scientists and ML engineers
  • Translating complex outputs into clear, usable insights

What we’re looking for:

  • MSc / PhD Bioinformatics / Computational Biology (or similar)
  • Experience with Python and/or R
  • Exposure to NGS data (alignment, QC, region-based analysis)
  • Familiarity with workflow tools (Nextflow, Snakemake)
  • Strong communication skills and curiosity

Nice to have:

  • Experience with regulatory genomics data
  • Exposure to machine learning workflows
  • Industry or academic research experience

Why this role:

  • Work at the intersection of data, biology, and real-world application
  • Close mentorship and rapid development
  • High ownership from day one
  • 10% dedicated learning time
  • Genuine flexibility (4 or 5 day week)

If you’re looking for a role where you’ll learn fast and contribute meaningfully, this is worth a conversation.

Bioinformatician in Edinburgh employer: Kleboe Jardine Ltd

Join a pioneering early-stage biotech company in Edinburgh, where innovation meets impact. With a strong emphasis on employee growth, you will benefit from close mentorship, a flexible working week, and dedicated learning time, all within a collaborative and dynamic work culture that values your contributions from day one.

Kleboe Jardine Ltd

Contact Detail:

Kleboe Jardine Ltd Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Bioinformatician in Edinburgh

Tip Number 1

Network like a pro! Reach out to professionals in the biotech field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream Bioinformatician role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving NGS data and Python/R. We recommend sharing this during interviews to demonstrate your hands-on experience and problem-solving abilities.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of workflow tools like Nextflow and Snakemake. We suggest doing mock interviews with friends or using online platforms to get comfortable with the format.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Bioinformatician in Edinburgh

Bioinformatics
Computational Biology
Nextflow
Snakemake
Python
R
NGS Data Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in bioinformatics and computational biology. We want to see how your skills with Python, R, and NGS data align with what we're looking for!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how you can contribute to our innovative team. Show us your passion for bioinformatics and your curiosity to learn!

Showcase Your Projects:If you've worked on relevant projects, whether in academia or industry, make sure to mention them! We love seeing practical examples of your work with data pipelines and analysis.

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 don’t miss any important updates from our team!

How to prepare for a job interview at Kleboe Jardine Ltd

Know Your Bioinformatics Basics

Make sure you brush up on your bioinformatics fundamentals, especially around NGS and omics datasets. Be ready to discuss your experience with Python or R, as well as any relevant projects you've worked on. This will show that you’re not just familiar with the concepts but can also apply them practically.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles or projects, particularly those involving data pipelines or workflow tools like Nextflow or Snakemake. Highlight how you approached these problems and what solutions you implemented, as this demonstrates your hands-on experience and critical thinking.

Communicate Clearly and Effectively

Since strong communication skills are a must for this role, practice explaining complex bioinformatics concepts in simple terms. You might be asked to translate technical outputs into insights, so being able to articulate your thoughts clearly will set you apart from other candidates.

Express Your Curiosity and Willingness to Learn

This company values rapid development and learning, so don’t hesitate to share your enthusiasm for continuous improvement. Talk about any recent courses, workshops, or self-study you've undertaken, especially if they relate to machine learning or regulatory genomics data. This shows you're proactive and eager to grow in your field.