Senior Clinical Data Engineer: Reproducible Trial Pipelines

Qureight Ltd; Greater London; Vor Ort; GBP 85.000 - 110.000; Vollzeit

Zusammenfassung

Qureight Ltd in the UK 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 empower Data Scientists and ensure traceability to inputs, code, and parameters.

You will collaborate with Data Scientists and Data Engineering, work with CDISC standards (SDTM/ADaM), and contribute to a regulated, GxP environment while expanding the platform for imaging and clinical data analyses.

Qualifikationen

• Proven experience as Data Engineer in clinical data environments.
• Hands-on CDISC SDTM/ADaM experience with sponsor or CRO data.
• Experience handling clinical trial data transfers, EDC extracts, and database lock.
• Strong Python skills in a commercial setting (pandas, NumPy, pandera, pytest).
• Experience building production data pipelines with automated testing/CI/CD.

Aufgaben

• Prepare trial data from sponsors/CROs to study data transfer specs.
• Build analysis-ready datasets (ADaM-style where required) from specs.
• Design and maintain reproducible data pipelines combining imaging biomarkers and clinical data.
• Deliver CDISC formats (SDTM/ADaM) where required.
• Collaborate with Data Scientists to automate repetitive steps and enhance science time.
• Ensure traceability, versioning, and validation checks across pipelines.
• Develop shared tooling and templates to standardise analyses and pipelines.

Kenntnisse

Python

Data Engineering

Collaboration

Communication skills

Machine learning

Ausbildung

CDISC SDTM/ADaM experience

Tools

Dagster

CI/CD

Pandas

NumPy

pandera

pytest

Jobbeschreibung

Qureight Ltd in the UK 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 empower Data Scientists and ensure traceability to inputs, code, and parameters.

You will collaborate with Data Scientists and Data Engineering, work with CDISC standards (SDTM/ADaM), and contribute to a regulated, GxP environment while expanding the platform for imaging and clinical data analyses.