Full Job Description
Brief Position Description:
The Clinical Data Programmer SAS is responsible for data analysis and business intelligence activities related to study related clinical and operational data for the purpose of facilitating clinical data inspection and quality control, as well as operational performance control of clinical sites by creating reports, visualizations and dashboards for Clinical Data Managers (CDM), Clinical Data Reviewers (CDR), Project Managers (PM) and other clinical study stakeholders.
Minimum Qualifications & Experience:
Graduate in computer science, data science, mathematics or life science related field, or similar.
A minimum of 1- 5years of experience in a role related to business intelligence, data science, data analysis, and clinical data management or clinical data programming in a pharmaceutical company, CRO or EDC software provider.
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Should be a SAS Certified, only SAS certified Candidates will be called for the interview.
Responsibilities:
The Clinical Data Programmer SAS III is responsible for assisting clinical study teams and other stakeholders to deliver data visualizations (Graphs/Dashboards) and reports (Tables, Listings) using Business Intelligence/Clinical Data Visualization tools.
Project/Clinical Studies
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Work under supervision as Clinical Data Programmer SAS gathering clinical and external data reporting and visualization user requirements from CDMs, CSRs, PMs and other study stakeholders to facilitate data inspection, data reconciliation, and clinical review, and provide guidance on appropriate output formats (dashboards, visualizations, listings, reports).
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Work under supervision as Clinical Data Programmer SAS gathering operational reporting and visualization requirements from study stakeholders in order to assess the operational performance of clinical sites making use of risk-based approaches (e.g. key risk indicators, quality tolerance limits), and provide guidance on appropriate output formats (dashboards, visualizations, listings, reports).
Document user requirements and undertake programming of the data visualizations (Graphs/Dashboards) and reports (Tables, Listings) using prototyping techniques and ensure the final programs are validated as they move through the development stages (DEV, UAT, PROD), as per applicable procedures.
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