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- Tasks: Build and maintain data pipelines for genetic data in a collaborative environment.
- Company: Leading health research organisation based in London with a focus on innovation.
- Benefits: Starting salary of £74,000 plus comprehensive benefits and remote/hybrid options.
- Why this job: Join a team making a real difference in health research through data engineering.
- Qualifications: Strong experience in cloud environments, Python programming, and data engineering principles.
- Other info: Exciting opportunity for career growth in a dynamic field.
The predicted salary is between 74000 - 84000 £ per year.
A leading health research organization in London is seeking a Senior Data Engineer to support the Bioinformatics Team. The role involves building and maintaining data pipelines for genetic data and collaborating with various teams to deliver quality-controlled data.
The ideal candidate will have strong experience in cloud environments, Python programming, and data engineering principles.
This position offers a salary starting from £74,000 along with comprehensive benefits.
Genomics Data Engineer — Remote/Hybrid (12m FTC) in City of London employer: Our Future Health
Contact Detail:
Our Future Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Genomics Data Engineer — Remote/Hybrid (12m FTC) in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics and bioinformatics fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for data engineering.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with cloud environments. We recommend practising common data engineering scenarios that might come up during the interview.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data pipelines or bioinformatics projects, make sure to highlight them in your conversations. We love seeing real-world applications of your skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make a difference in health research.
We think you need these skills to ace Genomics Data Engineer — Remote/Hybrid (12m FTC) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud environments and Python programming. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about genomics and how your background makes you a perfect fit for our Bioinformatics Team. Keep it engaging and personal!
Showcase Your Data Engineering Skills: In your application, emphasise your understanding of data engineering principles. We’re looking for someone who can build and maintain data pipelines, so share any specific examples of your work in this area.
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 out on any important updates during the process!
How to prepare for a job interview at Our Future Health
✨Know Your Data Engineering Principles
Make sure you brush up on your data engineering principles before the interview. Be ready to discuss how you've built and maintained data pipelines in the past, especially for genetic data. This will show that you understand the core responsibilities of the role.
✨Show Off Your Python Skills
Since Python programming is key for this position, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common data manipulation tasks in Python can really help you shine.
✨Familiarise Yourself with Cloud Environments
As the role involves working in cloud environments, make sure you know the ins and outs of the platforms you’ve used. Be prepared to discuss specific projects where you utilised cloud services, and how they improved your data handling processes.
✨Collaborate and Communicate
This position requires collaboration with various teams, so be ready to talk about your experience working in cross-functional teams. Highlight any successful projects where your communication skills made a difference in delivering quality-controlled data.
