Senior Clinical Data Engineer-Reproducible Pipelines

Qureight; Cambridge, Greater London; Hybrid; GBP 75.000 - 110.000; Vollzeit

Benefits dieser Stelle

Annual bonus

Private medical insurance

Life insurance

Cycle-to-work scheme

Contributory pension scheme

Equity

Zusammenfassung

Qureight in Cambridge is seeking a Senior Clinical Data Engineer to transform incoming clinical trial data into standardised, analysis-ready datasets. You will build reproducible data pipelines, enabling Data Scientists to focus on the science while ensuring traceability of inputs, code and parameters.

You will collaborate with Data Engineers and Data Scientists, implement CDISC SDTM/ADaM, and apply best practices in data quality, versioning and regulatory compliance within a GxP environment.

Qualifikationen

• Experience as a data engineer or clinical data programmer in a sponsor/CRO setting.
• Hands-on with CDISC SDTM/ADaM in clinical trial data.
• Strong Python skills in a commercial environment.
• Knowledge of data pipelines, validation, and reproducibility in regulated environments.
• Experience with Dagster, Docker/Kubernetes and cloud infrastructure.

Aufgaben

• Prepare trial data from sponsors/CROs to study data transfer specs.
• Build analysis-ready datasets for modelling from derivation specs.
• Design, build and maintain reproducible data pipelines with Dagster + imaging/clinical data.
• Deliver CDISC formats (SDTM, ADaM) where required.
• Collaborate with Data Scientists to automate repetitive steps.
• Ensure traceability and validation checks in pipelines within a GxP environment.
• Develop shared tooling and templates to standardise analyses.

Kenntnisse

Python

CDISC SDTM/ADaM

Data validation

Data science workflows understanding

Regulatory/compliance understanding

Collaborative communication

Tools

Dagster

Docker

Kubernetes

AWS

CI/CD

Jobbeschreibung

Qureight in Cambridge is seeking a Senior Clinical Data Engineer to transform incoming clinical trial data into standardised, analysis-ready datasets. You will build reproducible data pipelines, enabling Data Scientists to focus on the science while ensuring traceability of inputs, code and parameters.

You will collaborate with Data Engineers and Data Scientists, implement CDISC SDTM/ADaM, and apply best practices in data quality, versioning and regulatory compliance within a GxP environment.