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Lead Senior Clinical Data Engineer - LATAM

pfmRemote, Argentina; Remote, Brazil; Remote, Chile; Remote, Colombia; Remote, Mexico; Remote, Peru
Remote Full-time

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Experience Level

Senior

Qualifications

Key Responsibilities:Data Standardization & Mapping: Lead the creation of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for impactful analytics. Guide the adoption and governance of data standards across programs to ensure regulatory compliance and consistency. Data Quality Assurance: Design and implement scalable validation frameworks that proactively identify and resolve systemic data issues. Collaborate as a strategic partner with Clinical Data Managers and cross-functional teams to drive continuous improvement in data integrity across global trials. Programming & Scripting: Architect and maintain advanced modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Regulatory Compliance & Documentation: Lead initiatives to ensure compliance with regulatory standards and maintain robust documentation processes.

About the job

Join our expanding team at pfm as we enhance our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru. As a Senior Clinical Data Engineer, you will play a pivotal role in establishing the foundation for this new regional function. You will lead the development and optimization of clinical data systems, champion data standardization, implement validation frameworks, and design robust databases and pipelines that support global trials.

In this strategic role, you will oversee the optimization of clinical data systems to ensure compliance with regulations, facilitate advanced analytics, and promote operational excellence. Your expertise will drive enterprise-level data standardization initiatives while architecting scalable validation frameworks to proactively mitigate systemic data issues.

With a strong command of programming in Python, R, SQL, and SAS, you will build and manage modular codebases, set coding standards, and provide mentorship to junior engineers. Furthermore, you will ensure alignment with regulatory frameworks such as GCP and FDA 21 CFR Part 11, establishing comprehensive documentation and audit trail protocols. Through the use of dynamic dashboards and analytical tools, you will deliver actionable insights into trial performance and data quality.

As a key liaison among Biostatistics, Clinical Operations, and Regulatory Affairs, you will translate clinical requirements into scalable technical solutions and lead the design of secure, high-performance databases and ETL pipelines that integrate data from a variety of clinical systems.

About pfm

pfm is at the forefront of clinical data engineering, dedicated to optimizing data systems that enhance trial performance and ensure regulatory compliance. We strive to create innovative solutions that support our global operations and drive excellence in clinical research.

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