Associate Specialist, Data Architect

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

Responsibilities

Programming and reporting

• Assist in the design, build, test, and maintenance of solutions for clinical technology systems (e.g., EDC [Electronic Data Capture], RTSM [Randomization & Trial Supply Management], eCOA/ePRO [electronic Clinical Outcome Assessment/ electronic Patient-Reported Outcome]) using programming frameworks and automation tools, with guidance from senior team members.
• Implement and validate data logic (edit checks, derivations, dynamic rules) using scripting and validation frameworks.
• Support the development and validation of additional tools to streamline design, build, and validation processes.
• Apply data literacy to transform collected data to enable insights.
• Contribute to developing and maintaining reporting solutions (dashboards, listings, visualizations) using approved tools

Data Engineering

• Assist in configuring, testing, and validating data sources for integrations and transformations across systems.
• Perform routine troubleshooting and resolve data ingestion and consumption issues through debugging and support. Escalate non-standard issues to senior colleagues.
• Develop data models, queries, and optimize data extracts and views for reporting; ensure performance, quality, and version consistency.

Process

• Validate system functionality and ensure compliance with SOPs (Standard Operating Procedures) and regulations, including maintaining documentation for changes and incidents to support audits and inspection readiness.
• Contribute to process improvements, meetings, and special projects.
• Perform unit and integration testing for developed solutions; document test cases and defects; fix issues and prepare releases under change control
• Partner with GDMS (Global Data Management & Standards) and cross-functional stakeholders to confirm requirements, support UAT (User Acceptance Testing) activities, and contribute to sign-off readiness, align priorities, and close feedback loops to ensure high-quality, coordinated delivery

Technical skills

• Knowledge in at least one programming language (e.g., Python, SQL, SAS, R)
• Familiarity with data collection, integration, transformation, reporting, and visualization
• Knowledge of scripting and automation tools for data ingestion, cleaning, and report generation.
• Ability to build simple dashboards and reports using approved tools, including queries, basic data models, and visuals.
• Foundational testing skills for reporting assets (unit/integration), including writing test cases, documenting results, logging defects, and preparing evidence for release.
• Basic knowledge of System Development Lifecycle and validation practices (change control, release checklists, traceability from requirements to test evidence).
• Working understanding of Good Clinical Practice (GCP), data integrity, and audit-ready documentation; familiarity with UAT and sign-off processes by following established procedures and direction.
• Exposure to report performance optimization (query tuning, filters/parameters) and data quality controls for reporting and analytics.
• Ability to connect business outcomes to technical deliverables

Non-technical skills

• Prioritize tasks, meet deadlines, and maintain clean documentation by following established templates.
• Provide clear, timely updates; ask clarifying questions; write concise notes/status.
• Establish positive working relationships across functions; receptive to feedback.
• Apply basic structured thinking to resolve straightforward issues; escape non-standard problems to senior team members.
• Eager to learn new processes/technologies
• Strong attention to detail; follow SOPs and respect data privacy/compliance norms.

Enterprise Leadership Skills

• Execution Excellence | Reliably complete routine, structured work using existing procedures; be prompt, accurate, and compliant in execution; take action to achieve results beyond what is required
• Talent Growth | Focus on self-development, openness to feedback, and quickly building skills; embrace continuous learning and actively identify new areas for growth
• Diversity, Equity, & Inclusion | Respect and appreciate diverse perspectives; serve as a good team citizen that contributes to overall team effectiveness; value differences and work effectively with individuals of diverse backgrounds

Qualifications & experience

• 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