Senior Clinical Data Engineer (LATAM) at Precision for Medicine

Mexico, chihuahua, Mexico -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SQL, SAS, Data Standardization, Validation Frameworks, GCP Compliance, FDA 21 CFR Part 11, ETL Pipelines, Database Design, Data Quality Assurance, Mentoring, CDISC Governance, Risk Planning, Data Mapping, Audit Trails

Industry

Pharmaceutical Manufacturing

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 Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors 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, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates 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 Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor 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. Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders. Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery. Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets. Qualifications: Minimum Required: Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/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 Other Required: Highly effective oral and written communication skills with the ability to communicate effectively with project team members Excellent organizational and time management skills Ability to work in a team or independently as required Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems Proficiency in statistical analysis and data monitoring tools. Detail-oriented with strong analytical and problem-solving skills Demonstrated experience with integrated risk planning & management Ability to mentor junior team members Preferred: CRO experience as a Clinical Data Engineer or Programmer Skills: Strong analytical and problem-solving skills with attention to data quality and integrity. Ability to work with large, complex datasets from multiple sources. Effective communication skills to collaborate with cross-functional teams. Knowledge of data governance, privacy, and security best practices in clinical research. Competencies: Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals. Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs. Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines. Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Responsibilities

This role involves leading the strategic development and optimization of clinical data systems, driving enterprise-level data standardization initiatives, and architecting scalable validation frameworks to ensure regulatory compliance and operational excellence across global trials. The engineer is responsible for building and maintaining modular codebases using Python, R, SQL, and SAS, while also overseeing regulatory alignment with GCP and FDA 21 CFR Part 11.