Mitarbeiter:In (M/W/D) Bike-Refurbishment

Jobrad Holding; Santiago; Remoto; CLP 86.957.000 - 135.266.000; Tempo pieno

Descrizione del lavoro

IQVIA seeks a Senior Statistical Programmer in Pharmacometrics for 100% home-based support in clinical trials. You will develop and validate complex datasets using SAS and ADaM/SDTM standards, and collaborate with cross-functional teams to optimize processes.

The role requires hands-on R and SAS programming, advanced English, and LATAM language proficiency (Spanish or Portuguese). You will mentor junior programmers and help drive workflow improvements across the department.

Competenze

• Bachelor's degree in Statistics, Computer Science or related field.
• 2+ years with efficacy analysis (ADaM datasets & TLFs) or 4+ years on ADaM programming in clinical trials.
• Hands-on proficiency in R programming (mandatory).
• Proficiency in SAS programming.
• Advanced English (spoken and written).
• Native LATAM language: Spanish or Portuguese.

Mansioni

• Develops and validates complex datasets/outputs using SAS; adheres to CDISC ADaM/SDTM standards.
• Collaborates with cross-functional teams to optimize programming processes and efficiency.
• Provides technical guidance on statistical methodologies for clinical trial projects.
• Mentors junior programmers and guides team growth.
• Contributes to continuous improvement of programming workflows and standards.
• Ensures high-quality deliverables and adherence to protocols.
• Leads initiatives to enhance programming tools and techniques.

Conoscenze

R programming

SAS programming

English language

Leadership

Formazione

Bachelor's Degree in Statistics or related field

Strumenti

SAS

R

CDISC (ADaM/SDTM)

Descrizione del lavoro

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

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.

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 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.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.

To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.

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