Statistical Programmer
2 weeks ago
Key Responsibilities
Responsible for the accuracy of SAS programs by reviewing output, reviewing code, reviewing log files and running all checking utilities.
Utilize knowledge of SAS programming concepts.
Develop, review and execute code using SAS applications/tools e.g., SAS Enterprise Guide, SAS Studio. Review output to ensure internal consistency with other output for the activity (CSR, ISS, ISE).
Follow all department and project standards.
Responsible for creating peer review programs for assigned studies.
Ensure all SAS programs are imported into the archive system prior to the creation of final output.
Ensure clarity, accuracy and consistency of case report forms (CRFs), database definitions, and specifications for analysis data sets for individual studies.
Ensure accuracy of database quality assurance checks and assess data accuracy and consistency. Develop database checks for routine situations.
Responsible for the creation and accuracy of derivation programs for routine situations, including peer review.
Responsible for the creation and accuracy of submission data sets and analysis programs for routine situations.
Responsible for the creation of data definition documents and TOCs. Create specifications for Analyst Data Models (ADaM), Study Data tabulation Models (SDTM), and Tables, Listings, and figures.
Assist in the development of new processes and ensure all process improvements are implemented.
Utilize expertise in the use of the SAS Macros developed for the Statistical Programmers.
Participate in the development of new SAS Macros. Maintain expertise in the use of the UNIX utilities developed for the Statistical Programmers.
Participate in the development of new UNIX utilities. Work collaboratively with others to develop quality CRFs, databases, reports, publications and regulatory submission.
Provide accurate and timely responses to routine requests from clients.
Effectively mentor statistical programming peers with regard to functional operations.
Coordinate the statistical programming activities for 0-2 early-stage clinical projects in the same therapeutic area.
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