Sr. Consultant, Business Systems Management

K-Recruiting Life Sciences; Dortmund; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in life sciences is seeking an expert in Clinical Data Engineering, specializing in the management of Clinical Data Warehouses and Statistical Computing Environments. The successful candidate will contribute to technical consulting and process documentation for evidence generation driven by data science principles. Candidates should possess solid experience with Google Cloud and AWS technologies to drive innovation and best practices in the clinical data landscape.

Qualifikationen

• Strong experience in Clinical Data Warehousing and Statistical Environments.
• Expert technical skills in Google Cloud BigQuery and AWS.
• Knowledge of GxP, GDPR, and Computer System Validation required.

Aufgaben

• Manage life-cycle activities for Clinical Data Warehouses and Statistical Computing projects.
• Provide technical consulting for patient-level data technology projects.
• Document procedures under GxP, GDPR, and Data Governance frameworks.

Kenntnisse

Clinical Research

Data Science

Clinical Programming

Process Improvement

Project Management

Risk Management

Data Governance

Ausbildung

Understanding of Clinical Systems

Knowledge of GxP

Knowledge of GDPR

Knowledge of Computer System Validation (GAMP5)

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)