Provide SAS programming support for clinical trials, supporting registrations, and creating of reports for publications and other ad hoc analyses.
Develop SAS programs to generate TLFs to meet requirements using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL within applicable timelines.
Draft and/or review data specifications and build analysis datasets.
Review CRF design, data management plan, data validation plan, and edit check specifications.
Interact with statisticians and interdisciplinary teams on timelines and content of deliverables.
Follow required validation and verification requirements for software developed within the department, including verifying software developed by other staff members through peer reviews.
Develop, validate and maintain macros and tools for general use within the Biostatistics department to enhance the efficiency and quality of output produced.
Prepare datasets and supporting documentation that meet the CDISC SDTM and ADaM standards for use in submissions as required.
Provide technical leadership and support to members of the Biostatistics department as required.
Requirements:
B.S., M.S., or Ph.D. degree in statistics, biostatistics, computer science or closely related field with a minimum of 7 years pharmaceutical/medical device/CRO related experience as a SAS programmer analyzing clinical trial data.
Excellent working knowledge of Base SAS (including macro language, Proc SQL, and ODS), SAS/GRAPH, and SAS/STAT.
Good working knowledge of CDISC SDTM and ADaM models.
Knowledge of and ability to adhere to GCP principles and relevant regulatory requirements.
An aptitude for quantitative problem-solving with the capacity to troubleshoot and work independently.
Ability to follow guidelines and specifications on validation procedures and data transfer procedures.
Strong communication skills with the ability to interface at all levels; comfortable communicating workload to assist in managing priorities.
Flexible; ability to adapt to changing priorities and work independently with minimal supervision.
Experience running SAS in a Windows environment.
Able to set realistic timelines for assigned tasks and follow through to completion.
We understand that our people are essential to our success.
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