Conduct statistical programming and analysis of clinical research studies.
Provide programming support for publication efforts and regulatory submissions.
Manage the timely creation review completion and delivery of statistical programming activities and deliverables for study projects.
Perform acquisition and curation of data including full Clinical Data Interchange Standards Consortium (CDISC) standardization and Pseudo-CDISC Standardization.
Document and implement programming endpoint algorithms across various projects.
Review and provide feedback on Statistical Analysis Plans.
Manage the end-to-end analytics of deliverables from data curation through final presentation which may include preparation for abstracts and manuscripts.
Inform internal and external project team members of statistical programming requirements deliverable status and resource needs.
Program clinical research data to facilitate ease of analysis for observational hypothesis-generating studies.
Conduct exploratory analyses to support publication and abstract submissions.
Communicate statistical results to stakeholders to ensure accurate interpretation.
Requirements:
Masters degree or foreign equivalent in Biostatistics or a related field.
6 years of experience as a Statistical Programming Clinical Trial Analytics Intern or a related role within the public health biomedical or medical device industries.
Proficiency in SAS Programming SAS Macros R/R Studio Clinical Trial Design and Data Analysis.
Strong analytical and problem-solving skills with attention to detail.
Ability to work collaboratively in a team environment and communicate effectively with cross-functional teams.
Excellent organizational skills and the ability to manage multiple tasks and projects simultaneously.
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