Senior Clinical Data Engineer (LATAM)

TL;DR

Senior Clinical Data Engineer (LATAM): Lead the development and optimization of clinical data systems for global trials with an accent on data standardization, validation frameworks, regulatory compliance, and high-performance pipelines. Focus on designing scalable databases, ETL processes, dynamic dashboards, and modular codebases using Python, R, SQL, and SAS to ensure data integrity and actionable insights.

Remote from Argentina, Brazil, Chile, Colombia, Mexico, or Peru

Company

hirify.global is expanding data engineering capabilities across LATAM to support clinical trials.

What you will do

• Spearhead enterprise-level data standardization, mapping, and governance for regulatory alignment.
• Design and implement scalable validation frameworks to detect and resolve data issues.
• Architect modular codebases in Python, R, SQL, SAS for edit checks, reconciliations, and projections.
• Lead regulatory compliance with GCP, FDA 21 CFR Part 11, including documentation and audit trails.
• Develop dynamic dashboards for real-time insights into trial performance and data quality.
• Design and optimize secure relational databases and data lakes; collaborate across Biostatistics, Operations, and Regulatory teams.

Requirements

• Professional working proficiency in English
• Bachelor’s degree in life sciences, statistics, data management, or equivalent + minimum 6 years in clinical trials or equivalent
• Advanced programming/automation in Python, R, SQL, SAS; database design; dashboard development; CDISC governance
• Strong analytical, problem-solving, and communication skills; ability to mentor juniors
• Experience with statistical analysis, data monitoring, integrated risk management

Nice to have

• CRO experience as Clinical Data Engineer or Programmer