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- Tasks: Design scalable data pipelines and collaborate on complex biomedical datasets.
- Company: Join the prestigious University of Oxford's Research Informatics Team.
- Benefits: Fixed-term role until 31 July 2029 with impactful biomedical initiatives.
- Other info: Be part of a multi-disciplinary team in a dynamic research environment.
- Why this job: Make a difference in healthcare by working on significant biomedical projects.
- Qualifications: Master’s degree in a relevant field and strong Python skills.
The predicted salary is between 40000 - 50000 £ per year.
The University of Oxford is seeking a skilled Data Engineer to join the Research Informatics Team at the Centre for Medicines Discovery. This full-time role involves designing scalable data pipelines and collaborating with multi-disciplinary teams on complex datasets.
Applicants should hold a Master’s degree in a relevant field and have strong proficiency in Python. The position is fixed-term until 31 July 2029 and offers an opportunity to contribute to significant biomedical initiatives.
Biomedical Data Engineer - Scalable ETL & Data Pipelines employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biomedical Data Engineer - Scalable ETL & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Oxford, especially those in the Research Informatics Team. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your experience with scalable data pipelines and Python projects. This will help us stand out during interviews and demonstrate our hands-on expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ETL processes and data engineering concepts. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role at the University of Oxford.
We think you need these skills to ace Biomedical Data Engineer - Scalable ETL & Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with scalable data pipelines and Python. 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 biomedical data engineering and how you can contribute to our team at the University of Oxford. Keep it engaging and personal!
Showcase Your Teamwork Skills: Since this role involves collaborating with multi-disciplinary teams, make sure to mention any past experiences where you’ve worked effectively in a team setting. We love seeing how you can bring people together to tackle complex datasets!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at University of Oxford
✨Know Your Data Pipelines
Make sure you understand the principles of scalable data pipelines. Be ready to discuss your previous experiences with ETL processes and how you've optimised them. This will show that you can hit the ground running in the role.
✨Brush Up on Python
Since strong proficiency in Python is a must, review your coding skills before the interview. Be prepared to solve coding challenges or discuss your past projects where you used Python to manipulate complex datasets.
✨Collaborate Like a Pro
This role involves working with multi-disciplinary teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve navigated challenges in team settings.
✨Understand the Bigger Picture
Familiarise yourself with the Centre for Medicines Discovery and their current projects. Showing that you understand their mission and how your role as a Biomedical Data Engineer fits into it will demonstrate your genuine interest in the position.