Senior Statistical Programmer (Real World Evidence)
Reading, Berkshire, United Kingdom
IQVIA
Solutions to help life sciences organizations drive healthcare forward and get the right treatments to patients, faster.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.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data management Data quality EDA R Research SAS Statistics
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