At a Glance
- Tasks: Design and maintain data pipelines for clinical trials using cutting-edge technology.
- Company: Join Qureight, a pioneering company accelerating breakthroughs in lung and heart disease.
- Benefits: Enjoy a comprehensive benefits package, including bonuses, private medical insurance, and equity options.
- Other info: Be part of a diverse team of experts in a dynamic work environment.
- Why this job: Make a real impact in healthcare by working with innovative data solutions.
- Qualifications: Proven experience as a Data Engineer with strong Python skills and collaboration abilities.
The predicted salary is between 54000 - 66000 £ 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.
Responsibilities:
- Design, build, test, deploy and maintain trial-specific data pipelines that meet study protocol requirements.
- Work with Clinical Operations, Infrastructure, Data Science and Data Management teams to build the tooling each trial needs.
- Handle a wide range of datasets and transfer methods, integrating DICOM imaging (mainly CT) with clinical metadata.
- Build pipelines that are robust, scalable and maintainable, with quality and compliance designed from the start so that reproducibility, lineage tracking and data validation are straightforward.
- Own data delivery for your projects and help shape how we automate regulatory compliance.
- Contribute to technical decisions on our pipeline framework, review colleagues' code and support less experienced engineers.
Requirements:
- Proven experience as a Data Engineer in complex, data-rich environments.
- Strong Python skills gained in a commercial setting.
- Experience building and maintaining production data pipelines within regulated environments.
- Experience implementing data validation and quality checks in production pipelines.
- Experience with automation/orchestration tools, such as Dagster and cloud infrastructure on AWS.
- Strong collaboration skills and attention to detail, with the curiosity to understand where data comes from and how it will be used.
- Experience working with medical imaging data such as CT, MRI in DICOM format.
Desirable:
- Experience deploying in Kubernetes, particularly using GitOps tools such as Flux.
- Experience of data versioning and reproducibility frameworks.
- Experience working in regulated or GxP or ISO 13485 environments, or with clinical trial data.
Conditions:
- A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, cycle-to-work scheme, and a contributory pension scheme.
- Equity, so that our team can share in the long-term success of Qureight.
- 28 days’ holiday allowance, 25 days’ annual leave and 3 additional company days between Christmas and New Year, plus bank holidays and enhanced family 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.
Data engineer in clinical trials 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.
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We think you need these skills to ace Data engineer in clinical trials in London
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