Senior Clinical Data Engineer (LATAM)
Senior Clinical Data Engineer who leads the build-out and optimization of clinical data systems for global trials at a life-sciences CRO: enterprise data standardization, validation frameworks, secure relational databases and ETL pipelines, dashboards, and GCP/FDA 21 CFR Part 11 compliance. Core tech is SAS, with Python/R/SQL highly preferred; fully remote across LATAM.
- Compensation
- Not disclosed
- Location
- Remote, Argentina; Remote, Brazil; Remote, Colombia; Remote, Mexico
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in a relevant field (life sciences, statistics, data management, clinical operations) or equivalent combination of education, training, and experience
- Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
- Advanced programming and automation skills; database design; dashboard development; CDISC governance
- Professional working proficiency in English
- Proficiency in statistical analysis and data monitoring tools
- Demonstrated experience with integrated risk planning & management
- Demonstrated ability to extract pertinent information from protocols, electronic study data systems and clinical systems
- Highly effective oral and written communication skills
- Excellent organizational and time management skills
- Ability to work in a team or independently as required
- Detail-oriented with strong analytical and problem-solving skills
- Ability to mentor junior team members
Nice to have
- Python, R, and SQL experience
- CRO experience as a Clinical Data Engineer or Programmer
- Automation and AI agent deployment in regulated environments
Full description
We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.
The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.
This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in SAS Programming in a Life Sciences setting, you'll be responsible for building and maintaining modular codebases, sets coding standards, and mentoring junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols.
Through dynamic dashboards and analytics tools, you'll deliver actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, you'll help translate clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.
Essential functions of the job include but are not limited to:Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.
Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials
Programming & Scripting: Architect and maintain advanced, modular codebases using SAS to support complex data engineering workflows. Python, R, and SQL experience is highly preferred as we continue to leverage Ai tools across the industry. Establishing coding standards and mentoring junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume
Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.