Senior Clinical Data Engineer: Global Trials & Data Standards

Precision Medicine Group; Argentina; On-site; ARS 2,000,000 - 3,200,000; Full time

Job summary

Precision Medicine Group is expanding its data engineering capabilities in Latin America and Argentina, hiring a Senior Clinical Data Engineer to lead clinical data systems across global trials. You will drive data standardization, validation frameworks, and scalable databases and pipelines.

The role requires strong SAS programming, data governance, and collaboration with Biostatistics, Clinical Operations, and Regulatory Affairs to ensure regulatory compliance and high-quality analytics.

Qualifications

• Bachelor’s degree in life sciences, statistics, data management, or related field.
• Minimum 6 years experience in clinical data management, monitoring, or equivalent
• Advanced programming, automation, and CDISC governance knowledge.
• Professional working proficiency in English.

Responsibilities

• Lead development and optimization of clinical data systems across global trials.
• Design data standardization and mapping strategies for analytics.
• Build scalable validation frameworks to ensure data integrity.
• Develop modular SAS codebases and mentorship for junior engineers.
• Ensure regulatory alignment with GCP and FDA 21 CFR Part 11, plus audit trails.
• Create dashboards and analytics tools for trial performance and data quality.
• Collaborate with Biostatistics, Clinical Operations, and Regulatory Affairs.

Skills

SAS programming

Python

SQL

Data governance

Dashboard development

Regulatory compliance

English proficiency

Education

Bachelor’s Degree in life sciences, statistics, data management, clinical operations

Tools

SAS

Python

SQL

R

Job description

Precision Medicine Group is expanding its data engineering capabilities in Latin America and Argentina, hiring a Senior Clinical Data Engineer to lead clinical data systems across global trials. You will drive data standardization, validation frameworks, and scalable databases and pipelines.

The role requires strong SAS programming, data governance, and collaboration with Biostatistics, Clinical Operations, and Regulatory Affairs to ensure regulatory compliance and high-quality analytics.