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Senior Statistical Programmer
Victoria Avoke Enakeyarhe
Remote in Argentina
Negotiable
As a Senior Statistical Programmer, you will play a vital role in the analysis and interpretation of clinical trial data. This position is located in Argentina and is a full-time role that offers a compensation structure of $35 per hour in USD. Your expertise will directly impact the integrity and reporting of clinical trial results, contributing significantly to the field of biostatistics and data analysis.Key ResponsibilitiesDevelop and implement statistical programming tasks in SAS.Collaborate with cross-functional teams to ensure the accuracy and quality of statistical analysis.Document programming specifications and interact with data management to manage datasets.Perform data manipulation, analysis, and visualization as per project needs.Participate in clinical trial study design discussions to provide statistical insights.Review and validate statistical outputs to ensure compliance with regulatory standards.Contribute to the preparation of statistical sections of clinical trial reports and presentations.Required and Preferred QualificationsBachelor's degree in Statistics, Biostatistics, Mathematics, or a related field; Master's degree preferred.Proficiency in SAS programming is essential.Strong communication skills for effective collaboration.Excellent problem-solving skills to address data challenges.Strong understanding of clinical trial design and methodologies.The Senior Statistical Programmer will have the opportunity to work within a structured team environment that values collaboration and the sharing of expertise. You will report to a senior manager or director in the statistical programming team, enabling you to contribute to various projects while honing your skills in a supportive atmosphere.This role fosters interaction with multiple teams, such as clinical operations, data management, and biostatistics, which enhances the collaborative spirit essential for success in the field. Your contributions will be critical to achieving high-quality data analysis and regulatory approvals.