5 дней назад
Senior Statistical Programmer in Pharmacometrics (PM) Support (Clinical Trials)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Statistical Programmer in Pharmacometrics (PM) Support (Clinical Trials) (R/SAS/CDISC): Developing and validating complex clinical-trial datasets and outputs with an accent on ADaM and SDTM standards, efficacy analysis, and statistical programming quality. Focus on leading programming initiatives, mentoring junior programmers, optimizing workflows, and ensuring accurate deliverables under demanding project requirements.
Location: 100% home-based from Mexico City, Mexico
Company
IQVIA provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
- Develop and validate complex clinical-trial datasets and outputs using SAS.
- Apply CDISC standards, including ADaM and SDTM, to statistical programming deliverables.
- Provide technical guidance on statistical methodologies and programming best practices.
- Collaborate with cross-functional teams to improve programming processes, tools, and standards.
- Lead and mentor junior programmers while supporting programming teams and departmental objectives.
- Ensure accurate, high-quality deliverables within project timelines.
Requirements
- Bachelor’s degree in Statistics, Computer Science, or a related field.
- At least 2 years of experience with efficacy analysis, ADaM datasets, and TLFs, or at least 4 years of ADaM statistical programming experience in clinical trials.
- Hands-on proficiency in R and proficiency in SAS.
- Strong understanding of CDISC standards, statistical programming methods, and clinical-trial deliverables.
- Advanced English, written and spoken, with assessment during the interview process.
- Native Spanish or Portuguese is required for LATAM candidates.
Culture & Benefits
- 100% home-based sponsor-dedicated role.
- Opportunity to contribute to clinical research and healthcare projects.
- Work includes cross-functional collaboration, technical leadership, and continuous process improvement.
- Confidential handling of sensitive project data and internal communications is expected.
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