At a Glance
- Tasks: Build and maintain data pipelines for clinical trials and medical imaging.
- Company: Qureight, a leader in healthcare data engineering.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation in medical imaging.
- Why this job: Make a difference in healthcare by integrating cutting-edge technology with clinical data.
- Qualifications: Experience in regulated environments, strong Python skills, and pipeline development expertise.
The predicted salary is between 45000 - 55000 £ per year.
Qureight is looking for an experienced data engineer to develop data processing pipelines in clinical trials. You will build, test, and maintain pipelines, integrating DICOM images with clinical metadata and working with Operations, Data Science, and Data Management teams.
Required experience includes:
- Experience in a regulated environment
- Excellent proficiency in Python
- Skills in building robust production pipelines
Data Engineer — Clinical Trials & Medical Imaging in London employer: JustBacked
At Ryft, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work model allows for flexibility while ensuring that our Senior Product Managers have ample opportunities for professional growth and development within the dynamic fintech landscape of Manchester. With a focus on employee well-being and a commitment to staying ahead of industry trends, we offer a rewarding environment where your contributions directly impact our global marketplace solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — Clinical Trials & Medical Imaging in London
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We think you need these skills to ace Data Engineer — Clinical Trials & Medical Imaging in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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