Associate Data Architect - Clinical Systems & Dashboards

Merck; Województwo mazowieckie; On-site; PLN 60,000 - 90,000; Full time

Job summary

Merck is seeking a clinical data programming and data engineering professional to assist design, build, test, and maintain solutions for clinical technology systems, including EDC, RTSM, and eCOA/ePRO. You will implement data logic, validate scripts, and help develop reporting dashboards to support insights, audits, and regulatory readiness.

The role emphasizes data integration, process improvement, and collaboration with GDMS and cross-functional teams to ensure high-quality, compliant

Qualifications

• Non-Degree with a minimum of 2 years of experience in clinical data programming, data engineering, or related data-management/clinical operations activities.
• Minimum preferred Associate's Degree with a minimum of ???

Responsibilities

• Assist in design, build, test, and maintenance of clinical technology solutions.
• Implement and validate data logic using scripting and validation frameworks.
• Develop data models, queries, and optimize data extracts for reporting.
• Provide data literacy to transform collected data into insights.
• Contribute to developing and maintaining reporting solutions (dashboards, listings, visuals).
• Configure, test, and validate data sources for integrations and transformations.
• Troubleshoot data ingestion and resolve issues; escalate non-standard problems.
• Validate system functionality and maintain SOP-compliant documentation.
• Collaborate with GDMS and stakeholders to confirm requirements and support UAT.

Skills

Programming basics

Data visualization

Scripting

Dashboards

Education

Associate's Degree

Tools

Python

SQL

SAS

R

Job description

Merck is seeking a clinical data programming and data engineering professional to assist design, build, test, and maintain solutions for clinical technology systems, including EDC, RTSM, and eCOA/ePRO. You will implement data logic, validate scripts, and help develop reporting dashboards to support insights, audits, and regulatory readiness.

The role emphasizes data integration, process improvement, and collaboration with GDMS and cross-functional teams to ensure high-quality, compliant