Senior Clinical Data Architect – Cloud-Native & AI-Enabled R&D

Merck Healthcare; Mollet del Vallès; On-site; EUR 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Job summary

Merck Healthcare is seeking a senior data architect to own the Clinical Trial Data Platform's architectural vision and governance. You will define target-state architecture, lead the data platform evolution, and drive scalable data flows across R&D.

You will shape integration across EDC, eTMF, and CTMS, ensuring data integrity, security, and GxP compliance, while communicating complex concepts to scientific and business teams.

Qualifications

• Master's degree or higher in Life Sciences, Biomedical Informatics, Data Science, Computer Science, or related field.
• 10+ years of experience in clinical development, clinical data architecture, data management, or clinical technology.
• Deep expertise in clinical trial data domains including CTMS, EDC, eTMF and operational data.
• Strong command of GxP, CDISC standards, data governance, and lifecycle management.
• Hands-on experience with cloud-native platforms and modern data stack (AWS, Snowflake, dbt).

Responsibilities

• Define target-state architecture for the Clinical Trial Data Platform and govern its roadmap.
• Lead the evolution of the Operational Data Repository with data product concepts.
• Drive harmonized, scalable data flows across the R&D ecosystem.
• Shape integration architecture with EDC, eTMF, and CTMS while ensuring data integrity and compliance.

Skills

Data architecture

Stakeholder management

Communication of complex concepts

AI/ML concepts

Education

Master's degree or higher in Life Sciences, Biomedical Informatics, Data Science, Computer Science, or related field

Tools

AWS

Snowflake

dbt

Job description

Merck Healthcare is seeking a senior data architect to own the Clinical Trial Data Platform's architectural vision and governance. You will define target-state architecture, lead the data platform evolution, and drive scalable data flows across R&D.

You will shape integration across EDC, eTMF, and CTMS, ensuring data integrity, security, and GxP compliance, while communicating complex concepts to scientific and business teams.