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Statistical Programmer

Katalyst Healthcares and Life Sciences

Job Description:
Our client, a leading Life Sciences Company, needs to hire a Statistical Programmer to provide programming support for Phase 1 to Phase 3 studies, including project integration and disease monitoring project work.
  • Responsibilities:
  • Provides timely support to the project team on all statistical programming matters according to the project strategy.
  • Programs SDTM/ADaM/TLFs for the studies, write datasets specification, QC datasets and tables. Identifies and communicates changes in project requirements that may affect key deliverables.
  • Involved in the programming activities on multiple projects/ studies across various therapeutic areas, both internally and externally by CROs
  • Creates and reviews annotated CRF to SDTM datasets.
  • Provides support in balancing conflicting priorities, promoting communication and adequate information flow to motivate, encourage and align people with the company' s strategic objectives.
  • Functions as a positive role model for setting high expectations for quality, creativity and project ownership.
  • Works collaboratively with Clinical Operations, Clinical Data Management, Global Drug Safety, Regulatory and Project Management management/staff to meet project deliverables and timelines for statistical data analysis and reporting.
  • Provides technical input into documents produced by other functions (e.g., biostatisticians, data managers, medical writers).
  • Works with Biometrics and other functions for the development and maintenance of the data review and reporting tools, and any other statistical applications as appropriate.
Requirements:
  • Master's Degree in Statistics, Computer Science, Mathematics, Engineering or related discipline.
  • Minimum of 5+ years of clinical trial programming experience in the biotechnology, pharmaceutical or health related industry.
  • dvanced SAS programming skill s and experience in other statistical software, such as R and S-Plus.
  • Experience and in-depth knowledge in CDISC including SDTM, ADaM, and controlled terminologies.
  • Excellent organizational skills and ability to prioritize tasks.
Vacancy posted 3 days ago
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