Description
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.

Requirements
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

Benefits
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

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.