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Senior Clinical Data Engineer (LATAM)
Привлекательная позиция для опытных инженеров данных в сфере Life Sciences. Удаленный формат работы по всей Латинской Америке, стратегическая роль в расширении компании и работа с современным стеком технологий делают эту вакансию отличным карьерным шагом.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокие технические навыки (Python, R, SAS) со строгими знаниями регуляторных стандартов (GCP, FDA 21 CFR Part 11) и стандартов CDISC. Роль предполагает лидерство в новом регионе, что требует автономности и опыта менторства.
Анализ зарплаты
Предлагаемая роль Senior уровня в международной CRO для региона LATAM обычно предполагает оплату выше среднего по локальному рынку, ориентируясь на глобальные стандарты индустрии клинических исследований. Указанный диапазон отражает рыночные ставки для опытных специалистов в Бразилии, Мексике и Аргентине, работающих на международные компании.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Clinical Data Engineer position at pfm. With over 6 years of experience in clinical trial management and a deep technical background in Python, R, and SQL, I am confident in my ability to lead the development of your regional data engineering function in LATAM. My expertise in CDISC standards and FDA 21 CFR Part 11 compliance aligns perfectly with your requirements for enterprise-level data standardization and regulatory excellence.
Throughout my career, I have successfully architected scalable validation frameworks and led the design of high-performance ETL pipelines for global trials. I am particularly drawn to this role because of the opportunity to act as a strategic liaison between Biostatistics and Clinical Operations, translating complex scientific requirements into robust technical solutions. I am eager to bring my experience in mentoring junior engineers and my commitment to data integrity to the pfm team.
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Откликнитесь в pfm уже сейчас
Присоединяйтесь к лидеру в области клинических исследований и создавайте будущее обработки данных в Латинской Америке!
Описание вакансии
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.
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Навыки
- Python
- R
- SQL
- SAS
- CDISC
- ETL
- Data Governance
- Clinical Data Management
- GCP
- FDA 21 CFR Part 11
- Data Visualization
- Database Design
Возможные вопросы на собеседовании
Проверка глубоких знаний стандартов отрасли, необходимых для Senior позиции.
Опишите ваш опыт внедрения стандартов CDISC (SDTM/ADaM) в крупномасштабных клинических исследованиях. С какими основными трудностями вы сталкивались?
Оценка навыков автоматизации и владения стеком технологий.
Можете ли вы привести пример сложного ETL-процесса, который вы оптимизировали с использованием Python или R для повышения качества клинических данных?
Проверка понимания регуляторных требований, критически важных для клинических данных.
Как вы обеспечиваете соответствие разрабатываемых вами систем требованиям FDA 21 CFR Part 11 и принципам ALCOA+?
Оценка лидерских качеств и умения работать в кросс-функциональной среде.
Расскажите о случае, когда вам приходилось выступать связующим звеном между технической командой и отделом биостатистики для решения критической проблемы с данными.
Проверка навыков проектирования архитектуры данных.
Каков ваш подход к проектированию масштабируемых фреймворков валидации данных для проактивного обнаружения системных ошибок в глобальных исследованиях?
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