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- Tasks: Develop automated workflows and support genomic data pipelines in cloud environments.
- Company: Leading cancer research institute in the UK focused on genomic data solutions.
- Benefits: Competitive salary, hybrid working options, and diverse benefits.
- Why this job: Make a real impact in cancer research while working with cutting-edge genomic data.
- Qualifications: Degree in Computer Science or Bioinformatics; experience in Python and SQL required.
- Other info: Join a collaborative team dedicated to advancing cancer research.
The predicted salary is between 37470 - 43500 £ per year.
A leading cancer research institute in the UK is seeking a Data Engineer to advance COSMIC's genomic data solutions. The role involves developing automated workflows, supporting genomic data pipelines in cloud environments, and collaborating with various teams.
Ideal candidates should possess a degree in Computer Science or Bioinformatics, with proven experience in programming languages such as Python and SQL.
This permanent position offers a salary between £37,470 and £43,500, along with hybrid working options and diverse benefits.
Hybrid Cloud Data Engineer - Genomics & Cancer Research employer: Sanger
Contact Detail:
Sanger Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Cloud Data Engineer - Genomics & Cancer Research
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics and cancer research fields on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges that focus on cloud environments and genomic data workflows.
✨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 Hybrid Cloud Data Engineer - Genomics & Cancer Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in programming languages like Python and SQL. 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 genomic data solutions and how your background in Computer Science or Bioinformatics makes you a perfect fit for our team.
Showcase Your Collaboration Skills: Since this role involves working with various teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 from us!
How to prepare for a job interview at Sanger
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and SQL. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Understand the Role of Genomics
Familiarise yourself with the basics of genomics and cancer research. Knowing how your work as a Data Engineer can impact these fields will show your passion and commitment to the role.
✨Prepare for Collaboration Questions
Since the role involves working with various teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you adapt to different team dynamics.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've developed automated workflows or supported data pipelines in cloud environments. Use specific examples to illustrate your problem-solving abilities and technical expertise.
