Validate and create SDTM ADaM and Tables Figures and Listings (TFLs) including associated documentation like using SAS.
Write or review data specifications for Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM).
Handson statistical programming to support CSR publications presentations DSUR IB update safety data review reconciliation ad hoc analyses patient profiles and monthly safety reports in a fastpaced environment.
Ensure that all programming and data are conducted in compliance with GCP relevant SOPs and regulatory requirements.
Assist in the development of template programs or macros and standard specifications to improve efficiency in the Statistical Programming group.
Work on multiple tasks at same time and prioritizes tasks to meet timelines on a regular basis.
Collaborates with Biostatisticians Clinical Data Management and Clinical Research Scientists on studies when needed.
Support RWE data curation and summaries in coordination with Biostatistics.
May assist with testing R and relevant R packages to either validate or develop Rbased code solutions.
Requirements:
Bachelors or higher degree in Statistics Math or Computer Science or other suitable qualification related to the field.
8 years of statistical programming experience in the pharmaceutical industry Strong SAS programming and statistical background along with experience with Base SAS SAS Macros SAS/STAT SAS/Graph SAS/SQL SAS/ODS.
Basic level of R knowledge or experience using R and relevant R packages (tidyverse admiral etc.) is preferred.
Thorough understanding of clinical trial design as well as regulatory reporting requirements including electronic data submissions and CDISC implementation.
Experience working with oncology trials PK analysis and NDA or BLA submissions.
Excellent verbal and written communication skills and interpersonal skills are required.
Strong handson programming skills to deliver results in a fastmoving environment with the ability to work independently when only given loosely defined specifications.
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