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- Tasks: Build automated data pipelines for cancer genomics in a cloud environment.
- Company: Leading research institute focused on cancer genomics.
- Benefits: Competitive salary, permanent contract, and hybrid working model.
- Why this job: Make a real difference in cancer research while developing your skills.
- Qualifications: Background in Computer Science or Bioinformatics, with Python and SQL skills.
- Other info: Join a diverse team and contribute to groundbreaking research.
The predicted salary is between 36000 - 60000 £ per year.
A leading research institute in Hinxton is looking for a passionate Data Engineer to support the growth of the COSMIC cancer genomics database. This role involves developing automated data pipelines in a cloud environment and ensuring high-quality data handling.
Ideal candidates will have:
- A background in Computer Science or Bioinformatics
- Proficiency in Python and SQL
- The ability to work collaboratively in diverse teams
The position offers a competitive salary, a permanent contract, and a hybrid working model.
Cancer Genomics Data Engineer — Cloud Pipelines, Hybrid employer: Wellcome Sanger Institute
Contact Detail:
Wellcome Sanger Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cancer Genomics Data Engineer — Cloud Pipelines, Hybrid
✨Tip Number 1
Network like a pro! Reach out to professionals in the cancer genomics field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This is your chance to demonstrate your expertise in developing automated data pipelines and handling high-quality data.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to cloud environments and data engineering. We recommend practising with a friend 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 passionate candidates who are eager to contribute to the COSMIC cancer genomics database.
We think you need these skills to ace Cancer Genomics Data Engineer — Cloud Pipelines, Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with 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! Tell us why you’re passionate about cancer genomics and how your background in Computer Science or Bioinformatics makes you a great fit for our team. Keep it engaging and personal!
Showcase Teamwork Skills: Since we value collaboration, mention any experiences where you’ve worked in diverse teams. Highlight how you contributed to group projects and what you learned from those interactions. We love seeing candidates who thrive in a team environment!
Apply Through Our Website: To make sure your application gets to us directly, apply through our website. It’s the best way to ensure we see your application and can consider you for this exciting opportunity in our hybrid working model!
How to prepare for a job interview at Wellcome Sanger Institute
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in data pipeline development. This will show your technical prowess and how you can contribute to the COSMIC cancer genomics database.
✨Show Your Collaborative Spirit
Since this role involves working in diverse teams, be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight any experiences where you’ve worked cross-functionally or contributed to team success, as this will resonate well with the interviewers.
✨Understand the Cloud Environment
Familiarise yourself with cloud technologies relevant to data engineering. If you have experience with specific platforms like AWS or Google Cloud, be ready to discuss how you've utilised them in previous roles. This knowledge will demonstrate your readiness to develop automated data pipelines in a cloud environment.
✨Prepare Questions About the Role
Interviews are a two-way street, so think of insightful questions to ask about the COSMIC project and the team dynamics. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
