The Oncology RWD Programmer will conduct statistical analyses of real-world data to address critical questions on the safety and benefit-risk of products within the Oncology Therapeutic Area. Additional activities include the development and generation of analysis datasets, tables, listings, and graphs from assigned clinical and real-world data sources. This individual will perform with minimal supervision under the direction of Oncology therapeutic area epidemiologists.
POSITION DUTIES & RESPONSIBILITIES:
Conduct analyses and develop specifications for descriptive and comparative safety studies utilizing real world data within the Oncology therapeutic area
Utilize programming standards to develop efficient and accurate programs
Collaborate with epidemiologists to develop code lists for disease areas
Support programming deliverables for re-analysis of clinical trial data and support for any custom real world data reports
Provide quality programming deliverables and conduct QC on analyses as needed
Functional and Technical Competencies:
Competencies in SAS, R or SQL required
Demonstrated ability to work in teams is required
Master's degree (e.g. MA, MSc, MPH) in Biostatistics, Epidemiology, Health Services Research, or related discipline, such as Outcomes Research from an accredited institution, with a minimum of three (3) years of relevant, post-graduation experience OR a Bachelor's degree in Statistics, Computer Science or related discipline, with at least five (5) years of experience analyzing observational data is required
Experience in the analysis of real-world data sources is required
Experience with US Oncology specific real-world data sources is preferred
Knowledge and experience in clinical and observational research study design, execution and communication is preferred
Writing Statistical Analysis Plans (SAP) for descriptive and comparative studies in real-world data, including claims and EHR is preferred
Understanding of the analysis of real-world data for regulatory submissions is preferred