Remote Latam Lead, Centralized Monitoring (Clinical Trials)

Maxit Consulting - Max Corporate Group; Buenos Aires; Hybrid; ARS 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Sponsor dedicated

Home based role

Job summary

Maxit Consulting - Max Corporate Group seeks a Senior Statistical Programmer in Pharmacometrics to support Clinical Trials from LATAM regions. Role focuses on R and SAS programming with CDISC ADaM/SDTM compliance, and collaboration across cross-functional teams.

You will mentor junior programmers, contribute to process improvements, and ensure timely, high-quality outputs while coordinating resources and maintaining data integrity. Advanced English required; native Spanish/Portuguese preferred.

Qualifications

• Proficiency in R and SAS programming for clinical trials.
• Experience with CDISC standards (ADaM/SDTM).
• Strong written and spoken English; LATAM native languages (Spanish/Portuguese).
• Ability to lead and mentor programming teams and coordinate tasks.

Responsibilities

• Develops and validates SAS-based datasets and outputs per CDISC ADaM/SDTM.
• Collaborates with cross-functional teams to improve programming processes.
• Provides technical guidance on statistical methodologies for trials.
• Mentors junior programmers and ensures adherence to standards.
• Drives improvements in programming workflows and tools.
• Delivers high-quality programming outputs within deadlines.

Skills

R programming

SAS programming

CDISC ADaM/SDTM

English (Advanced)

Leadership / mentoring

Education

Bachelor's Degree in Statistics or CS or related field

Job description

Senior Statistical Programmer in Pharmacometrics (PM) support (Clinical Trials)

Mexico City, Mexico
Santiago, Chile
Buenos Aires, Argentina
Lima, Peru
Quito, Ecuador
São Paulo, Brazil
Bogota, Colombia
Full time
R
Sponsor dedicated - 100% Home based role.

Job Overview

The Principal Stat Programmer plays a critical role in ensuring the accuracy and integrity of statistical programming across various clinical projects. This position demands proficiency in R and SAS programming and familiarity with CDISC standards, particularly ADaM and SDTM models.

Essential Functions

• Develops and validates complex datasets and outputs using SAS programming, ensuring compliance with CDISC standards such as ADaM and SDTM models.
• Collaborates with cross-functional teams to optimize statistical programming processes and enhance overall efficiency and accuracy.
• Provides technical guidance and expertise on statistical methodologies to support clinical trial projects and departments.
• Mentors and guides junior programmers, fostering their growth and development.
• Contributes to the continuous improvement of programming workflows and departmental standards.
• Ensures high-quality deliverables from the statistical programming department by adhering to best practices and established protocols.
• Leads initiatives to enhance programming tools and techniques, driving innovation in statistical programming.
• Partners with leadership to align programming objectives with larger organizational goals.

Qualifications

• Bachelor's Degree Statistics, Computer Science or related field.
• 2+ years working with efficacy analysis (Adam datasets & TLF's) and/or 4+ years on ADAM statistical programming on clinical trials.
• Hands-on proficiency in R programming language (mandatory).
• Proficiency in SAS programming language.
• Advanced English (both written and spoken - tested during the interview process).
• Native language is required - LATAM: Spanish or Portuguese.
• Ability to lead/manage others. Capably leads and manages programming teams, ensuring adherence to standards and mentoring junior programmers.
• Demonstrated ability to maintain confidential information, sensitive project data and internal communications.
• Exercises sound judgment and decision-making in selecting statistical methods and programming techniques.
• Effectively manages time and resources to deliver high-quality programming outputs within tight deadlines.
• Executes projects efficiently, demonstrating strong project management skills to coordinate tasks and resources effectively.
• Demonstrates robust technical aptitude with a deep understanding of SAS programming and CDISC standards.
• Analyses and interprets financial data accurately to make informed decisions in statistical programming.
• Applies effective problem-solving skills to overcome programming challenges and optimize workflows.
• Exhibits strong written and verbal communication skills to document programming methodologies and procedures clearly to facilitate collaboration and improve statistical programming processes with cross-functional teams.
• Inspires and motivates programming teams to align their work with organizational goals and quality standards.

Important: submit your CV in English.

EEO Minorities/Females/Protected Veterans/Disabled