Sr. Consultant, Business Systems Management

K-Recruiting Life Sciences; Berlin; Vor Ort; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

A leading company in Life Sciences is seeking a Clinical Data Engineer to manage clinical data projects using advanced cloud technologies. The role involves technical consulting, data management, and adherence to industry standards like GxP and GDPR. Ideal candidates will have solid expertise in clinical systems and experience with cloud platforms.

Qualifikationen

• Strong experience in management and administration of Clinical Data Warehouses.
• Good understanding of Clinical Research principles and standards.
• Knowledge of GxP, GDPR and Computer System Validation.

Aufgaben

• Life-cycle management activities for Clinical Data Warehouses.
• Technical consulting for patient-level data technology projects.
• Document processes under GxP, GDPR and Data Governance.

Kenntnisse

Clinical Research

Clinical Systems & Technologies

Clinical Data Science

Statistical Programming

Process Improvement

Project Management

Change Management

Risk Management

Tools

Google Cloud BigQuery

AWS

ETL Informatica

SAS

R

R-Shiny

Python

Jobbeschreibung

• Life-cycle management activities for Clinical Data Warehouses and Statistical Computing Environments projects in the Data and Statistical Sciences Centre for Real-World Evidence and Evidence Generation - Data Engineering (DX-DSS-DEN) function
• Technical consulting for patient-level data and real-world secondary data related technology projects based on Google Cloud BigQuery, AWS (S3, Redshift), ETL (e.g. Informatica) and BI technologies
• Contribute industry knowledge to establish best practices and develop innovative technology solutions in the field of Clinical Data Engineering
• Formalize and document system related processes (Standard Operating Procedures) under the framework of GxP, GDPR and Data Governance

Qualification :

• Good understanding of the principles, concepts, processes, and standards of Clinical Research & Real-World Evidence, specifically Clinical Systems & Technologies, Clinical Data Science and Statistical / Clinical Programming
• Strong experience in management and administration of Clinical Data Warehouses and Statistical Computing Environments (e.g. SAS, R)
• Expert technical skills in Google Cloud BigQuery, AWS (S3, Redshift) and ETL (e.g. Informatica)
• Strong skills in continuous process improvement, project management, change management, and risk management
• Experience in R-Shiny / Python, EDC and other patient-level data related systems would be recommended
• Knowledge of GxP, GDPR and Computer System Validation (GAMP5)