At a Glance
- Tasks: Design and implement data pipelines for clinical trials, ensuring accuracy and efficiency.
- Company: Join Qureight, a mission-driven company transforming healthcare with AI technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for continuous learning.
- Other info: Collaborative environment with a focus on personal and professional growth.
- Why this job: Make a real impact in healthcare by accelerating clinical trials and improving patient outcomes.
- Qualifications: Experience in data engineering and a passion for healthcare innovation.
The predicted salary is between 50000 - 60000 € per year.
Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.
About the role: As Qureight expands we’re running image analytics for an increasing number of clinical trials in multiple disease areas. We’ve developed data pipeline frameworks for processing the data received across these trials and handling data needs that are specific to each trial. We’re now looking to expand in this area to further automate the process and scale to even more trials.
We’re hiring for a Data Engineer to take on implementing trial‑specific data pipelines, whilst always exploring how we can improve the system and processes within the clinical trial regulatory framework. The role will work closely with our Clinical Operations team and so be exposed to the details of the trials. The focus will always be to ensure efficient, accurate data pipelines that minimise errors and keep data quality embedded by design.
If you are interested in the interface between data infrastructure, software engineering, and medical applications – particularly in clinical trials – then this is for you.
What you will do:
- Design and implement data processing plans in clinical trials, through design, testing, deployment, and maintenance to specific trial protocol requirements.
- Collaborate with Clinical Operations, Infrastructure teams, Data Scientists, and Data Managers to pull together effective data tooling.
- Turn your hand to multiple different datasets.
Data Engineer - Engineering in London employer: Qureight Ltd
At Qureight, we pride ourselves on being an exceptional employer dedicated to making a meaningful impact in healthcare. Our collaborative and open culture fosters continuous learning and innovation, providing employees with ample opportunities for professional growth while working alongside a diverse team of experts in Cambridge and London. Join us to be part of a mission-driven environment where your contributions directly accelerate clinical trials and improve patient outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Engineering in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Qureight or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview.
✨Tip Number 2
Prepare for your interviews by brushing up on your technical skills and understanding the clinical trial landscape. We recommend practising common data engineering scenarios and being ready to discuss how you can contribute to improving data pipelines.
✨Tip Number 3
Show your passion for the mission! When you get the chance to chat with potential employers, express your enthusiasm for accelerating clinical trials and how your skills can make a difference in bringing treatments to market faster.
✨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 our team at Qureight.
We think you need these skills to ace Data Engineer - Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that are relevant to the Data Engineer role. Highlight any experience with data pipelines, clinical trials, or collaboration with cross-functional teams. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about working at Qureight and how your background aligns with our goals. Be genuine and let us know what excites you about the role and our mission.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical examples of your work, especially if they relate to data processing or clinical applications.
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 shows us you’re keen to be part of our team!
How to prepare for a job interview at Qureight Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in data processing and pipeline frameworks. Brush up on the specific technologies mentioned in the job description, as well as any relevant tools or languages that Qureight might use. Being able to discuss your experience with these will show you’re ready to hit the ground running.
✨Understand Clinical Trials
Familiarise yourself with the clinical trial process and how data plays a role in it. Knowing the ins and outs of trial protocols and regulatory frameworks will help you demonstrate your understanding of the industry and how your work can impact patient outcomes.
✨Show Your Collaborative Spirit
Since the role involves working closely with various teams, be prepared to discuss examples of past collaborations. Highlight how you’ve effectively communicated and worked with different stakeholders, especially in multidisciplinary settings, to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about Qureight’s projects, culture, and future plans. This not only shows your genuine interest in the company but also gives you a chance to assess if it’s the right fit for you. Think about what you want to know regarding their approach to data quality and automation in clinical trials.
