Statistical Programmer II

Syneos Health is looking for Statistical Programmer II to join our dynamic team and embark on a rewarding career journeyData Programming: Write, review, and validate computer programs to generate summary tables, listings, and graphs from clinical trial or research data.
Statistical Analysis: Collaborate with statisticians and data analysts to implement statistical analysis plans and perform complex statistical analyses.Data Manipulation: Create and maintain datasets by merging, cleaning, transforming, and validating data for statistical analysis.Quality Control: Ensure the quality and accuracy of programmed outputs and datasets, including reviewing code and documentation.Regulatory Compliance: Ensure that all programming activities and deliverables adhere to regulatory and industry standards.Documentation: Prepare and maintain detailed documentation of programming activities, data management processes, and code development.Statistical Software: Utilize statistical software tools such as SAS, R, Python, or other specialized software for data analysis and programming.Collaboration: Collaborate with cross-functional teams, including statisticians, data managers, and clinical researchers, to support research projects.Statistical Reporting: Assist in the creation of statistical reports, data summaries, and graphical representations of study findings.Validation and Testing: Perform unit testing and validation of statistical programs to ensure data accuracy and reliability.Project Management: Contribute to project planning and timeline management, ensuring that programming tasks are completed on schedule.Skills and Qualifications:Statistical Programming: Proficiency in programming languages used for data analysis, such as SAS, R, or Python.Statistical Concepts: Strong understanding of statistical concepts, study designs, and clinical trial methodologies.Data Management: Knowledge of data manipulation, cleaning, and transformation techniques.Quality Assurance: Attention to detail and the ability to perform rigorous quality control on statistical outputs.Regulatory Knowledge: Familiarity with regulatory requirements and guidelines, particularly in industries like healthcare or pharmaceuticals.Documentation: Strong documentation skills to maintain accurate records of programming activities and procedures.Data Visualization: Ability to create data visualizations and reports to convey study findings effectively.