Senior Data Architect: Clinical Data Integration

MSD Polska; Województwo mazowieckie; Hybrid; PLN 360,000 - 600,000; Full time

Job summary

Merck & Co., Inc. in Poland seeks a Senior Specialist, Data Architect to lead build, integration, and maintenance of clinical databases and systems. You will enforce enterprise standards, guide resourcing, mentor teams, and ensure audits and SLAs while driving data transformation across study systems.

The role encompasses data modeling, EDC/RTSM/eCOA platforms, and advanced reporting, with emphasis on data quality, validation, and cross-functional collaboration to support regulatory submissions.

Qualifications

• Extensive experience in clinical data programming, data engineering or related areas.
• In-depth knowledge of data standards and regulatory requirements.
• Experience with lifecycle management and validation in regulated environments.

Responsibilities

• Design and deploy clinical technology system solutions such as EDC, RTSM, and eCOA using automation tools.
• Validate complex data logic with scripting and validation frameworks.
• Define and optimize data integration architecture across systems.
• Lead testing strategies and ensure traceability from requirements to evidence.
• Mentor junior colleagues and drive cross-functional collaboration.
• Ensure SOP conformity, audit readiness, and quality controls.

Skills

SQL

Python

SAS

R

Data literacy

Domain expertise

Education

Non-Degree track with 8+ years in relevant fields

Associate's Degree with 7+ years

Bachelor’s Degree with 5+ years

Advanced degree (Masters/Doctorate) with 2+ years

Tools

SOPs/WIs

Job description

Merck & Co., Inc. in Poland seeks a Senior Specialist, Data Architect to lead build, integration, and maintenance of clinical databases and systems. You will enforce enterprise standards, guide resourcing, mentor teams, and ensure audits and SLAs while driving data transformation across study systems.

The role encompasses data modeling, EDC/RTSM/eCOA platforms, and advanced reporting, with emphasis on data quality, validation, and cross-functional collaboration to support regulatory submissions.