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Precision for Medicine is expanding clinical data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru. This Senior Clinical Data Engineer role leads the strategic development and optimization of clinical data systems supporting regulatory compliance, advanced analytics, and operational excellence across global clinical trials.
Key responsibilities include spearheading enterprise-level data standardization and mapping strategies to transform raw clinical data into standardized formats for analytics. You will design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues, serving as a strategic partner to Clinical Data Managers and cross-functional teams.
The role requires architecting and maintaining advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. You will establish coding standards, mentor junior engineers in automation and performance optimization, and lead compliance initiatives ensuring all data systems meet GCP, FDA 21 CFR Part 11, and global regulatory requirements.
Responsibilities also include developing and operationalizing dynamic dashboards and analytics tools providing real-time insights into data quality, trial progress, and operational KPIs. You will act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs, translating clinical requirements into scalable technical solutions.
Additionally, you will lead the design and optimization of secure, high-performance relational databases and data lakes, ensuring infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.
Required qualifications include a Bachelor's degree in a relevant field (life sciences, statistics, data management, clinical operations) or equivalent combination of education and experience. Minimum 6 years in clinical monitoring, clinical trial management, or equivalent roles is required. Advanced programming and automation skills, database design expertise, dashboard development capabilities, and CDISC governance knowledge are essential. Professional working proficiency in English is mandatory.
You should demonstrate highly effective oral and written communication skills, excellent organizational and time management abilities, and proven capacity to mentor junior team members. Experience with integrated risk planning and management, statistical analysis tools, and data monitoring platforms is expected.
