Senior Clinical Data Engineer - Reproducible Pipelines

Qureight Ltd; Cambridge; Presencial; GBP 85.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual bonus

Private medical insurance

Life insurance

Cycle-to-work

Pension

Equity

Descripción de la vacante

Qureight Ltd. is hiring a Senior Clinical Data Engineer to transform incoming clinical trial data into standardised, analysis-ready datasets. You will build reproducible data pipelines that save Data Scientists time, ensuring traceable inputs, code, and parameters.

You’ll collaborate with Data Scientists and the Data Engineering team to align with common standards and best practices. The role focuses on developing end-to-end data infrastructure in a regulated, GxP environment, leveraging

Formación

• Proven experience as a Data Engineer or clinical data programmer, ideally working closely with data scientists, analysts or researchers.
• Hands-on experience with CDISC standards, in particular SDTM and ADaM, on clinical trial data.
• Experience handling clinical trial data from sponsors or CROs: data transfers, EDC extracts, visit structures and database lock.
• Strong Python skills gained in a commercial setting, including the scientific Python stack (pandas, NumPy, pandera, pytest).
• Experience building and maintaining production data pipelines with automated testing and CI/CD.
• Experience implementing data validation and quality checks.
• Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS.
• Good understanding of data science workflows and clinical trial data concepts (endpoints, visit schedules, missing data).

Responsabilidades

• Prepare clinical trial data from sponsors and CROs to each study’s data transfer specification.
• Build analysis-ready datasets for modelling and machine learning (ADaM‑style where required) from derivation specifications with Data Scientists.
• Design, build and maintain reproducible data pipelines that combine imaging biomarkers and clinical data, leveraging existing Dagster pipelines.
• Build and test pipelines against dummy or interim data and deliver CDISC formats (SDTM, ADaM) where required.
• Collaborate with Data Scientists to automate repetitive steps and increase scientific productivity.
• Ensure reproducibility and quality by versioning data, code and environments with clear lineage and validation checks.
• Develop shared tooling and libraries to standardise analyses and move code from notebooks to tested workflows.
• Maintain traceability and change control suitable for regulated, GxP environments.

Conocimientos

Python

Pandas

NumPy

Pandera

PyTest

Dagster

CI/CD

Docker

Kubernetes

AWS

SDTM

ADaM

Data pipelines

Data validation

Herramientas

Dagster

Docker

Kubernetes

AWS

Descripción del empleo

Qureight Ltd. is hiring a Senior Clinical Data Engineer to transform incoming clinical trial data into standardised, analysis-ready datasets. You will build reproducible data pipelines that save Data Scientists time, ensuring traceable inputs, code, and parameters.

You’ll collaborate with Data Scientists and the Data Engineering team to align with common standards and best practices. The role focuses on developing end-to-end data infrastructure in a regulated, GxP environment, leveraging