At a Glance
- Tasks: Design and implement data pipelines for clinical trials, ensuring quality and compliance.
- Company: Join Qureight, a mission-driven company accelerating breakthroughs in lung and heart disease.
- Benefits: Enjoy a comprehensive benefits package, including private medical insurance and 25 days annual leave.
- Other info: Diverse team environment with opportunities for continuous learning and growth.
- Why this job: Make a real impact in healthcare by working with cutting-edge data technology.
- Qualifications: Experience as a Data Engineer with strong Python skills and attention to detail.
The predicted salary is between 50000 - 70000 € 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 and transfer methods for multimodal healthcare data, integrating HRCT imaging and clinical metadata
- Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable
- Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless
- Own project data delivery and help shape automation of regulatory compliance.
What we need...
- Proven experience as a Data Engineer in complex, data‑rich environments
- Strong programming skills in Python
- Experience building and maintaining production data pipelines within regulated environments
- Experience enforcing data quality requirements
- Experience with automation/orchestration tools such as Dagster, containerisation, and cloud infrastructure on AWS
- Strong collaboration skills and attention to detail, particularly through understanding the underlying context of the data
Even better if you have experience of...
- Medical imaging data such as CT, MRI, or DICOM
- Deploying in Kubernetes, particularly using gitops tools such as Flux
- Data versioning and reproducibility frameworks
- Working in regulated or GxP or ISO 13485 environments, or with clinical trial data
What can you expect from us
- A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme
- 25 days annual leave, plus bank holidays and enhanced maternity leave
- A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations
How to apply
Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role.
Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
Data Engineer - Engineering employer: Qureight Ltd
At Qureight, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of Cambridge and London. Our commitment to continuous learning and collaboration fosters a culture where every team member can thrive, while our comprehensive benefits package ensures that your well-being is prioritised. Join us in making a meaningful impact on clinical trials and patient outcomes, as we work together to innovate and accelerate breakthroughs in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Engineering
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Qureight. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your data engineering prowess, make sure to share them during interviews. It’s all about proving you can walk the walk.
✨Tip Number 3
Prepare for the technical questions! Brush up on your Python and data pipeline knowledge. Being able to discuss your experience with automation tools like Dagster will definitely impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our mission to help biopharma run faster, smarter trials.
We think you need these skills to ace Data Engineer - Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Python programming, and any relevant projects that showcase your skills in a clinical trial context.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role at Qureight. Share specific examples of how your skills align with our mission to accelerate clinical trials and improve patient outcomes.
Showcase Collaboration Skills:Since you'll be working closely with various teams, emphasise your collaboration skills in both your CV and cover letter. Mention any past experiences where teamwork led to successful project outcomes.
Apply Early!:We review applications as they come in, so don’t wait! Apply through our website as soon as you can to ensure you don’t miss out on this exciting opportunity to join our team.
How to prepare for a job interview at Qureight Ltd
✨Know Your Data Inside Out
Make sure you understand the types of data you'll be working with, especially in clinical trials. Familiarise yourself with medical imaging data like CT and MRI, as well as the specific requirements for data quality and compliance in regulated environments.
✨Showcase Your Programming Skills
Be ready to discuss your experience with Python and any automation/orchestration tools you've used, such as Dagster or cloud infrastructure on AWS. Prepare examples of how you've built and maintained production data pipelines, particularly in complex, data-rich settings.
✨Collaboration is Key
Highlight your collaboration skills by sharing experiences where you've worked closely with teams like Clinical Operations or Data Scientists. Emphasise your ability to understand the context of the data and how it impacts the overall project.
✨Prepare Questions About the Role
Think of insightful questions to ask during the interview that show your interest in the role and the company. Inquire about their current projects, challenges they face in data processing, or how they ensure data quality and compliance in their pipelines.
