Senior Statistical Programmer (Real World Evidence)

Tasks:

• Develop, validate, and maintain statistical programs for the analysis of real-world data, ensuring compliance with regulatory guidelines and internal standards.
• Perform data management tasks, including data cleaning, data transformation, and data integration from multiple sources to ensure data quality and integrity.
• Collaborate with cross-functional teams, including biostatisticians, data scientists, and clinical researchers, to design and implement statistical analyses that address specific research questions.
• Create and maintain comprehensive documentation for programming processes, data management workflows, and analysis results to ensure reproducibility and transparency.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in real-world data.
• Assist in the preparation of statistical reports, presentations, and publications, summarizing findings and providing insights to stakeholders.

Qualifications:

• Proven experience in statistical programming (Minimum 4+ years of experience) using languages SAS, and R.
• Strong understanding of data management principles, including data quality.
• Experience with real-world data sources, such as electronic health records, claims data, or patient registries, is preferred.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.