Bi Solutions Lead: Product Support & Analytics

CVS Health; Quilmes; Remote; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

100% Home based role

Job summary

CVS Health is seeking a Senior Statistical Programmer in Pharmacometrics to support clinical trials. The role emphasizes R and SAS programming and CDISC standards (ADaM/SDTM).

Remote, sponsor-delivered home-based position across LATAM regions, with mentoring responsibilities and process improvement responsibilities. The candidate should have strong English skills, a statistics/computer science background, and the ability to lead programming teams while maintaining data integrity and compliance

Qualifications

• Hands-on proficiency in R programming (mandatory).
• Proficiency in SAS programming.
• Experience with efficacy analysis (ADaM datasets & TLFs) or 4+ years on ADaM statistical programming in clinical trials.
• Strong English communication skills (written and spoken).
• Native LATAM language required (Spanish or Portuguese).

Responsibilities

• Develops and validates complex datasets and outputs using SAS, ensuring adherence to CDISC ADaM/SDTM models.
• Collaborates with cross-functional teams to optimize statistical programming processes and accuracy.
• Provides technical guidance on statistical methodologies and programming best practices.
• Mentors junior programmers and contributes to training and development.
• Leads initiatives to improve programming tools and workflows and ensures quality deliverables.

Skills

R programming

SAS programming

Education

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

Tools

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.

• 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.

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