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Clinical SAS Programmer
Full time at a Laimoon Verified Company in Hyderabad, India

Clinical SAS Programmer Full time through a Laimoon Verified Company in Hyderabad, India

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Job highlights

Posted on December 20, 2016
  • Professional background in
  • Job level Junior/Entry Level
  • Pays salary of INR 20,000 - INR 25,000 /month
    (Fixed Salary)

Job details

Job Summary

Responsible for building programs to create SAS data sets from the clinical database, external data sources, and other sources while following the clinical study's protocol or statistical plans.


Primary responsibilities

• Build SAS data sets from clinical database.

• Develop SAS macros, templates and utilities for data cleaning and reporting.

• Utilize SDTM guidelines to build data sets.

• Communicate with an internal team to create deliverable's for pharmaceutical and biotechnology clients.

• Implement analyses specified in the protocol or the Statistical Analysis Plan (SAP) while working with the project statistician.

• Ensure CRF meets the guidelines of the protocol and check for consistency and adequacy.

• Write SAS programs to generate tables, listings, and figures and analysis data sets.

• Review CRF annotations and data specifications.

• Work in tandem with Bio-statistics and Data Management member on various clinical projects.

• Identify and edit checks per the data validation plan or data management plan.

• Study management reports using SAS.

• Validate the programmed analysis data sets, tables, listing and figures.

• Perform analyses defined in the statistical analysis.

• Prepare clinical and statistical summary reports.

• Communicate with programming and statistics leads.

• Utilize SAS programming skills within protocol team and perform all programming required for clinical trial analysis and reporting.

• Perform quality control on final reports.

• Develop SAS coding and table templates for preparing, processing and analyzing clinical data.

• Establish monitoring of data transfers for ongoing trials to identify study conduct or data quality issues.


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