Sr. Statistical ProgrammerCompass Consulting • Brisbane, CA, US
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Sr. Statistical Programmer
Compass Consulting • Brisbane, CA, US
[job_card.variable_days_ago]
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[job_card.full_time]
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[job_card.job_description]
Our client is focused on advancing first- or best-in-class medicines for childhood and adult diseases.
POSITION SUMMARY:
This position is fully remote with a requirement to work on Pacific Standard Time when requested.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Validate and create SDTM, ADaM, and Tables, Figures, and Listings (TFLs), including associated documentation like define.xml using SAS
Write or review data specifications for Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM)
Hands-on 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 fast-paced 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 R-based code solutions
QUALIFICATIONS:
Bachelor’s 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 hands-on programming skills to deliver results in a fast-moving environment with the ability to work independently when only given loosely defined specifications
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