Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse complex genomic data and collaborate on innovative research projects.
- Company: Leading UK genomics organisation with a focus on bioinformatics.
- Benefits: Competitive salary, generous leave, and supportive professional growth environment.
- Why this job: Make a real impact in genomic research using advanced computational techniques.
- Qualifications: PhD in relevant field and strong programming skills in R and Python.
- Other info: Join a dynamic team dedicated to advancing genomic science.
The predicted salary is between 36000 - 60000 £ per year.
A leading genomics organization in the UK is seeking a Genomic Data Scientist to join the Bioinformatics Consulting team. This role involves analyzing complex genomic data, collaborating with researchers, and applying advanced computational techniques to drive innovative genomic research.
Candidates should possess a PhD in a relevant field, strong programming skills in R and Python, and extensive experience with whole genome sequencing data.
The position offers competitive salary, generous leave, and a supportive environment for professional growth.
Genomic Data Scientist — Multi-omics & Disease Genomics employer: Genomics England
Contact Detail:
Genomics England Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Genomic Data Scientist — Multi-omics & Disease Genomics
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in R and Python, especially those involving whole genome sequencing. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by brushing up on common genomic data analysis questions. We recommend practising with friends or using mock interview platforms to build your confidence.
✨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 Genomic Data Scientist — Multi-omics & Disease Genomics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in genomic data analysis and programming skills in R and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing your PhD and any projects related to whole genome sequencing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about genomic research and how your skills can contribute to our Bioinformatics Consulting team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any relevant projects or research, make sure to mention them in your application. We’re interested in how you’ve applied advanced computational techniques in real-world scenarios, so share those experiences with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Genomics England
✨Know Your Genomics
Make sure you brush up on the latest trends and techniques in genomic data analysis. Familiarise yourself with whole genome sequencing data and be ready to discuss how you've applied your knowledge in past projects.
✨Show Off Your Coding Skills
Since strong programming skills in R and Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis beforehand.
✨Collaborate Like a Pro
This role involves working closely with researchers, so be prepared to discuss your experience in collaborative projects. Highlight any instances where your teamwork led to successful outcomes in genomic research.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects or how they support professional growth within the team.
