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- Tasks: Develop automated pipelines and workflows for cancer genomics research.
- Company: Prestigious educational institution focused on innovative cancer research.
- Benefits: Collaborative environment with opportunities to influence future research.
- Why this job: Make a real impact in cancer research while working with cutting-edge technology.
- Qualifications: Degree in Computer Science or Bioinformatics; experience in Python and SQL.
- Other info: Join a passionate team dedicated to advancing genomics and cancer research.
The predicted salary is between 36000 - 60000 £ per year.
A prestigious educational institution in Hinxton is seeking a passionate Data Engineer to contribute to the COSMIC project focused on cancer genomics. This role involves developing automated pipelines and workflows, implementing cloud solutions, and supporting the management and release of vast genomic datasets.
Candidates should possess a degree in Computer Science or Bioinformatics, and experience in languages like Python and SQL. The position offers a collaborative environment with the opportunity to influence the future of cancer research.
Cloud Data Engineer – Genomics Pipelines & Cancer Research employer: Karlstad University
Contact Detail:
Karlstad University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer – Genomics Pipelines & Cancer Research
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics and data engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion for cancer research.
✨Tip Number 2
Prepare for those interviews! Research the COSMIC project and be ready to discuss how your skills in Python and SQL can contribute to developing automated pipelines. We want you to shine and show them why you're the perfect fit!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant projects, whether in school or on your own, make sure to highlight them. We love seeing practical applications of your skills, especially in cloud solutions and genomic datasets.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your enthusiasm for the role and the institution. Let’s get you that interview!
We think you need these skills to ace Cloud Data Engineer – Genomics Pipelines & Cancer Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant cloud solutions. We want to see how your skills align with the COSMIC project and cancer genomics!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for cancer research and how you can contribute to our team. Let us know why you're excited about this role and the impact you hope to make.
Showcase Your Projects: If you've worked on any automated pipelines or workflows, be sure to mention them! We love seeing real examples of your work that demonstrate your ability to handle vast genomic datasets.
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 our team!
How to prepare for a job interview at Karlstad University
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your knowledge of cloud solutions and automated pipelines, and be ready to discuss how you've used these technologies in past projects.
✨Understand the COSMIC Project
Familiarise yourself with the COSMIC project and its significance in cancer genomics. Being able to articulate how your skills can contribute to this initiative will show your genuine interest and commitment to the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you’ve faced in previous roles and how you overcame them, especially in relation to data management and workflow automation.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be prepared to discuss your experiences working in collaborative environments. Highlight instances where you’ve successfully worked with others to achieve a common goal, particularly in research or technical projects.
