Senior Statistical Programmer In Pharmacometrics (Pm) Support (Clinical Trials)

Iqvia; Bogotá; Remote; COP 388,777,000 - 550,768,000; Full time

Job summary

IQVIA is seeking a Principal Stat Programmer for a sponsor-dedicated, 100% home-based role. The candidate will lead SAS and R programming across multiple clinical projects, and ensure CDISC ADaM/SDTM compliance.

You will mentor junior programmers, drive process improvements, and provide technical guidance on statistical methods. English must be advanced; LATAM Spanish or Portuguese is required as native language.

Qualifications

• Bachelor’s degree required in statistics, computer science, or a related field.
• 2+ years with efficacy analysis (ADaM datasets & TLFs) and/or 4+ years on ADaM statistical programming in trials.
• Hands-on proficiency in R programming language (mandatory).
• Proficiency in SAS programming language.
• Advanced English (written and spoken).
• Native language required for LATAM: Spanish or Portuguese.
• Ability to lead and manage programming teams and mentor juniors.

Responsibilities

• Develops and validates complex datasets and outputs using SAS, CDISC ADaM/SDTM models.
• Collaborates with cross-functional teams to optimize programming processes and accuracy.
• Provides technical guidance on statistical methodologies and programming best practices.
• Mentors junior programmers and supports their growth and development.
• Contributes to ongoing improvements of workflows and departmental standards.
• Ensures high-quality deliverables by adhering to standards and protocols.
• Leads initiatives to enhance programming tools and techniques.
• Partners with leadership to align objectives with organizational goals.

Skills

R programming

SAS programming

CDISC standards

Leadership / Mentoring

Education

Bachelor's Degree Statistics, Computer Science or related field

Job description

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 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.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.