Remote Lead: Centralized Monitoring For Global Trials

Remote Genie; Partido de Quilmes; Remote; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

100% home based role

Sponsor dedicated

Job summary

Remote Genie is seeking a Senior Statistical Programmer to support pharmacometrics and clinical trials. The role emphasizes R and SAS programming, CDISC ADaM/SDTM standards, and collaboration with cross‑functional teams.

The candidate will develop and validate complex datasets, mentor junior programmers, and lead initiatives to improve programming workflows while ensuring high‑quality deliverables for the statistical programming department.

Qualifications

• Bachelor's degree in Statistics, Computer Science or related field.
• Proficiency in R and SAS programming languages.
• Experience with CDISC ADaM/SDTM standards is required.
• Ability to lead and mentor programming teams.

Responsibilities

• Develops and validates complex datasets and outputs using SAS programming.
• Ensures compliance with CDISC standards (ADaM/SDTM) across trials.
• Collaborates with cross‑functional teams to optimize programming workflows.
• Mentors junior programmers and contributes to quality deliverables.
• Drives programming process improvements and standardization.

Skills

R programming

SAS programming

CDISC standards (ADaM/SDTM)

Leadership

Mentoring

Project management

English proficiency

Education

Bachelor's Degree in Statistics, Computer Science or related field

Tools

R

SAS

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 . Key responsibilities include developing and validating complex data sets and outputs, collaborating with cross‑functional teams to optimize processes, and providing technical guidance on statistical methodologies and programming best practices. The role also involves mentoring junior programmers and contributing to the continuous improvement of programming workflows and standards, supporting the overall quality deliverables of the statistical programming department.

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 optimise 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 organisational goals.

Qualifications

• Bachelor's Degree in 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 judgement 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 optimise 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 organisational goals and quality standards.

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