Company:
Katalyst Healthcares & Life Sciences
Location: Indianapolis
Closing Date: 29/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Responsibilities:
Perform data manipulation, analysis, and reporting of clinical trial data.
Develop and maintain department/system-level macros.
Create and review SDTM and ADaM specifications.
Create and validate SDTM data sets.
Create and validate analysis data sets.
Create and validate patient profiles.
Program and generate tables, figures, and listings. (TFLs)
Validate and document SAS programs and outputs.
Fulfill ad-hoc analysis requests.
Provide other services.
Requirements:
Bachelor's degree or higher, preferably in a scientific discipline such as Statistics, Mathematics, Computer Science, or a related applicable field.
Minimum of ten (10) years' SAS programming experience in the pharmaceutical/biotech industry with extensive experience using CDISC standards.
Ability to create source and validation programs using SAS software for SDTM datasets, ADaM datasets, and tables, figures, and listings (TFLs) for multiple studies/products.
Experience integrating data across multiple studies or drug programs.
Expertise in developing and using system-level macro programs.
Experience programming with SAS/GTL.
Proficiency in Microsoft Word, Excel, and PowerPoint.
Responsibilities:
Perform data manipulation, analysis, and reporting of clinical trial data.
Develop and maintain department/system-level macros.
Create and review SDTM and ADaM specifications.
Create and validate SDTM data sets.
Create and validate analysis data sets.
Create and validate patient profiles.
Program and generate tables, figures, and listings. (TFLs)
Validate and document SAS programs and outputs.
Fulfill ad-hoc analysis requests.
Provide other services.
Requirements:
Bachelor's degree or higher, preferably in a scientific discipline such as Statistics, Mathematics, Computer Science, or a related applicable field.
Minimum of ten (10) years' SAS programming experience in the pharmaceutical/biotech industry with extensive experience using CDISC standards.
Ability to create source and validation programs using SAS software for SDTM datasets, ADaM datasets, and tables, figures, and listings (TFLs) for multiple studies/products.
Experience integrating data across multiple studies or drug programs.
Expertise in developing and using system-level macro programs.
Experience programming with SAS/GTL.
Proficiency in Microsoft Word, Excel, and PowerPoint.
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