Principal Statistical programmer
Katalyst CRO - South San Francisco, California, us, 94083
Work at Katalyst CRO
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Overview
Principal Statistical programmer
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Katalyst CRO 9 months ago Be among the first 25 applicants Join to apply for the
Principal Statistical programmer
role at
Katalyst CRO Write SAS programs that produce or validate tables, listings, figures and analysis datasets, in support of clinical studies or complex integrated analyses for submission. Develop and follow good programming practices, including adequately documenting SAS code. Perform, plan and coordinate project work to ensure timely, quality delivery across multiple projects. Provide input into, or lead general standardization efforts (e.g., CRFs, query checks, standard statistical programs, data presentations); Review statistical analysis plans and other related documents. Partner with or oversee CROs or Programming vendors to perform any of the above tasks.
Responsibilities
Write SAS programs that produce or validate tables, listings, figures and analysis datasets, in support of clinical studies or complex integrated analyses for submission. Develop and follow good programming practices, including adequately documenting SAS code. Perform, plan and coordinate project work to ensure timely, quality delivery across multiple projects. Provide input into, or lead general standardization efforts (e.g., CRFs, query checks, standard statistical programs, data presentations); Review statistical analysis plans and other related documents. Partner with or oversee CROs or Programming vendors to perform any of the above tasks.
Requirements
At least 5 years' industry (Pharmaceutical, Biotech, CRO) SAS programming experience or equivalent. Knowledge of clinical trials and experience in using SAS to report the results of clinical trials and/or integrated analysis for submission. Experience in constructing technical programming specifications and producing complex, validated SAS programs. Strong experience in working with CDISC standards, including SDTM, Adam, and Define xml. Excellent knowledge of applied statistical methodologies. Excellent knowledge of SAS Macro, SAS/SQL, SAS/GRAPH, and SAS/STAT. Good communication and organizational skills required. Seniority level
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