The company is looking to solve the problem of analyzing real-world data to demonstrate the value and safety of new medicines.
Requirements
- Formal training and demonstrated proficiency in statistical programming using SAS, macros, basic SQL
- Prior programming experience using Clinical Practice Research Datalink (CPRD) data
- Knowledge of statistics, programming, and real-world studies
- Strong track record of analysis of RWD
- Experience in inflammation and virology therapeutic areas
- Experience with claims and EHR data
- Experience with data management and analytic procedures, code lists, and workflows
Responsibilities
- Conduct analyses and determine methodological considerations for longitudinal studies using CPRD data and other secondary real world data sources
- Lead the feasibility of real world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives
- Plan and program the integration/linkage of raw CPRD data to multiple RWD data sources
- Conduct QC programming for descriptive and complex studies in RWD
- Manage and contribute to quality control of programs and automation of data refreshes
- Support development of study documents including protocols, analysis specifications, and study reports with translation to analytic implementation
- Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies
Other
- Master's Degree in Biostatistics, Epidemiology, Data Science, or related field with 5-8 years relevant experience or PhD with 2 years of relevant experience required
- Good organizational, interpersonal, and communication skills
- Ability to effectively manage and prioritize multiple tasks and projects
- Excellent accuracy and attention to detail
- Home-based anywhere in the United States or Canada
- Relocation and work sponsorship not supported for this opening
