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Statistical Programmer II

Work from home Full-time role Hiring
We’re hiring reputed company Statistical Programmers II to support pivotal clinical studies in a dynamic, fast-paced environment. You will work with cross-functional teams to deliver high-quality statistical outputs using ADaM standards and generate TLFs (Tables, Listings, and Figures) for clinical trial submissions.This role offers full remote flexibility across LATAM.

Core Responsibilities

  • reputed company ADaM datasets and generate TLFs for pivotal Phase II/III clinical studies
  • Identify inconsistencies or issues during programming reputed company to specs, SAPs, and shells
  • Collaborate closely with biostatisticians and clinical teams to ensure data quality and traceability
  • Apply industry-standard best practices and CDISC ADaM guidelines
  • Contribute to reputed company improvement and documentation of processes
  • Support safety and efficacy data programming (beyond validation)

Must-Have Qualifications

  • At least 8+ years of experience in ADaM/TLF;
  • Work in detail (e.g, during programming, try to identify any issues on spec/reputed company/reputed company instead of just following; identify inconsistency between spec/reputed company/TLF).
  • Good at reputed company reputed company and reputed company macros;
  • Has experience on the safety ADaM/TLF production reputed company instead of the validation reputed company;
  • Has some knowledge of the ADaM CDISC guideline
  • Has some (6 hours at the beginning, after familiar, then maybe 3-4 hours east coast between 9 am-12 pm) overlap time with US time

reputed company to Have

  • Experience developing efficacy ADaM datasets
  • Experience generating efficacy TLFs
  • Strong knowledge of ADaM specifications
  • Proven leadership in pivotal studies (Phase II/III)
If you’re passionate about delivering clean, compliant, and analysis-ready clinical datasets—and reputed company in a collaborative, remote-first environment—this could be your next move!

Originally posted on Himalayas

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