Amgen's Center for Observational Research (CfOR) needs to provide leadership to the PV Epi programming team's Causal Inference capability in the development and execution of real-world evidence (RWE) observational studies and ensure adequate and timely delivery of results to support drug development and commercialization.
Requirements
- 8+ years of relevant statistical programming experience
- Experience applying CDISC standards to Real-World Data, or mapping Real-World Data to other common data models
- In-depth knowledge of real-world data and large claims dataset programming experience
- Master’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content
- Previous experience with regulatory filings, especially where RWE was included
- broad, comprehensive understanding of statistical programming languages and platforms, real-world data, claims and EMR databases.
Responsibilities
- Execute and lead the programming for observational research studies across multiple types of data including medical claims, electronic health records, and survey data
- Implement innovative ways for working with Big Data in healthcare, such as using common data models, data visualization, and efficiency initiatives in large databases
- Leads and contributes to efforts to identify, develop, and implement departmental standards, applications, processes, and training.
- Provides leadership to the PV Epi programming team’s Causal Inference capability in the development and execution of real-world evidence (RWE) observational studies
- responsible for operational oversight of team projects in addition to planning, organizing, and managing resources to ensure high-quality and timely delivery of observational research programming deliverables.
- responsible for operational oversight of PV Epi programming team projects related to Causal Inference within the Data and Analytics Center (DAC).
Other
- Effective people management, through staff development, engagement, and performance management
- Work cross-functionally to establish and maintain priorities on projects and allocate staff and FSP external workers to projects in alignment with business and product priorities
- Communicate and interpret technical, and scientific information to a variety of audiences
- Experience managing programming teams
- Experience working optimally in a globally dispersed team environment with cross-cultural partners
