The company is looking to design, plan, and execute analytical components of research studies to examine the value of pharmaceutical assets or address strategic questions in disease areas of interest. This involves applying methodological and analytical expertise to conduct or consult on Real-World Evidence (RWE) studies using various databases.
Requirements
- Minimum of 1-2 years’ experience in SAS, SQL programming/R/Python required
- Ability to incorporate production code macros in studies required
- ability to execute programming assignment and problem solve issues independently
- Experience and/or training in the application of advanced scientific and analytical methods
- Ability to perform urgent analyses that are needed with short turnaround time
- Professional training in a healthcare field, experience in analysis of large medical claims datasets or prior experience in the UNIX/Hadoop environment preferred
Responsibilities
- applies methodological and analytical expertise to conduct or consult on the analysis of RWE studies
- application of statistical theories, methods, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases
- act as point of contact for the assigned therapeutic area (TA) on analytical needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed
- standardize coding convention, processes and protocol translations to increase efficiency
- Responsibility for analytical component of reports describing studies, outcomes and methods used and provide specifications to the V&E researchers
- Presenting results of studies and contribute to the writing and publishing of scientific presentations
- Supporting clinical trial endpoint strategies by executing statistical analysis plans and providing consultation to design as needed
Other
- Depending on experience
- Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline preferred
- ability to present complex research and data clearly to stakeholders
- interact with internal and external collaborative partners on joint projects
- CO/NYC candidates might not be considered
