Remote Statistical Programmer

• 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.
• 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 Statistical Programmers.
• Participate in the development of new SAS Macros. Maintain expertise in the use of the UNIX utilities developed for Statistical Programmers.
• Work collaboratively with others to develop quality CRFs, databases, reports, publications, and regulatory submission.

QI is always looking for experienced Programmers! Applicants are required to have a Bachelor’s degree or foreign academic equivalent in Statistics, Computer Science, or a related field of study with at least 3-5 years of related experience in the following areas:

· Knowledge of and experience working with SAS Programming and R Programming.

· Developing, reviewing, and executing code using SAS applications/tools e.g., SAS Enterprise Guide, SAS Studio.

· Knowledge of statistical methodology used for analysis of categorical and continuous variables e.g., linear regression, categorical data analysis, survival analysis, significance testing, etc.

· Experience in the use of the SAS Macros developed for Statistical Programmers.

· Using R for clinical-data manipulation, analysis, visualization, and reporting., Must possess a Bachelor’s degree or foreign academic equivalent in Statistics, Computer Science, or a highly related field of study with at least 3-5 years of related experience in the following:

-Knowledge of SAS Programming; developing, reviewing and executing code using SAS applications/tools e.g., SAS Enterprise Guide, SAS Studio; knowledge of statistical methodology used for analysis of categorical and continuous variables e.g., linear regression, categorical data analysis, survival analysis, significance testing etc.; experience in the use of the SAS Macros developed for the Statistical Programmers.

At Quantive Intelligence, hiring experienced Statistical Programmers is one of our top priorities! Our two primary, legacy organizations - TechData and LLX - represent decades of expertise in both FSP and Project Based Solutions for our customers in the Programming area. QI hires for all Biometrics functional areas, with Programming representing one of our top needs!