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- Tasks: Design and build data pipelines while ensuring top-notch data quality.
- Company: Join University College London Hospitals' innovative SAFEHR team.
- Benefits: Competitive salary, professional growth, and a collaborative work environment.
- Other info: Exciting opportunities for career advancement in a dynamic setting.
- Why this job: Transform advanced research into real-world applications and contribute to open-source software.
- Qualifications: Experience in data engineering and a passion for collaboration.
The predicted salary is between 58133 - 65261 £ per year.
University College London Hospitals seeks a Data Engineer (AI Enablement) to join the SAFEHR team. This role involves designing and building data pipelines, developing a data warehouse, and ensuring data quality. You will work directly with clinicians and researchers to transform advanced research into real-world applications, contributing to open-source software. The position offers a salary of £58,133 – £65,261 and opportunities for professional growth in a collaborative environment.
Data Engineer, AI Enablement for Clinical Data employer: Society of Research Software Engineering
Contact Detail:
Society of Research Software Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, AI Enablement for Clinical Data
✨Tip Number 1
Network like a pro! Reach out to current employees at University College London Hospitals on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipeline designs and data warehousing experience. This hands-on evidence can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get together with friends or fellow job seekers to do mock interviews. We can help each other refine our answers, especially around how we can contribute to AI enablement in clinical data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace Data Engineer, AI Enablement for Clinical Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to the SAFEHR team. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Technical Skills: Since this role involves designing data pipelines and ensuring data quality, make sure to mention specific tools and technologies you’ve worked with. We’re keen to know how you can bring your expertise to our collaborative environment.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Society of Research Software Engineering
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with designing and building data pipelines. Brush up on the tools and technologies you've used, and be ready to discuss how you've ensured data quality in your previous roles.
✨Understand the Clinical Context
Since you'll be working directly with clinicians and researchers, it's crucial to understand the clinical environment. Familiarise yourself with how data is used in healthcare settings and be prepared to discuss how your work can impact patient care and research outcomes.
✨Showcase Your Collaboration Skills
This role involves working in a collaborative environment, so highlight your teamwork experiences. Be ready to share examples of how you've successfully collaborated with cross-functional teams, especially in open-source projects or similar settings.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the SAFEHR team, their current projects, and how they envision the role evolving. This shows your genuine interest and helps you assess if the company is the right fit for you.