Associate Director

Medical & Payer Evidence Statistics Biopharmaceuticals Medical -Evidence-Real World Science & Digital

Provides advanced biostatistical support. Writes and/or reviews statistical analysis plans, study design concepts and protocols. Displays sound level of competence in a range of statistical methodologies and will often act as a point of reference for others.


Typical Accountabilities

* Provide statistical expertise in the design, analysis and interpretation of secondary observational research studies and primary data collection clinical studies/trials in support of Biopharmaceuticals Medical & Payer evidence generation research activities.
* Provide expert advice in the analysis of real-world data for stakeholders in Epidemiology, Market Access / HEOR, Medical Affairs, and other functional areas.
* Provide statistical guidance on the development of Study Design Concepts, Protocols, Statistical Analysis Plans, Data Presentation Plans, Clinical Study Reports and publication activities in support of BPM clinical/observational study activities.
* Provide oversight of CRO analytic activities for outsourced BPM clinical/observational studies as needed, supporting the Study Lead in reviewing all analytical activities outsourced to external vendors, including analysis plans, review of interim/final results and publications development.


Requirements
Essential

* Graduate degree in Statistics, Biostatistics, or related quantitative fields (epidemiology, health outcomes, health informatics or health economics) or equivalent course work/ technical experience with experience in pharma/healthcare or other relevant discipline.
* MS with 8 years of experience or PhD with 5 years of experience in the design, analysis and reporting of clinical studies/trials in a pharmaceutical research or academic setting.
* Demonstrated ability to work collaboratively on cross-functional teams across global & functional boundaries, both internally and externally.
* Self-motivated with the ability to work independently to solve complex and challenging problems using innovative strategies while maintaining focus on quality.
* Excellent communication skills and ability to build strong relationships.


Highly Desired

* At least 5+ years-experience in RWE observational research study management and data analytics within pharmaceutical industry.
* Advanced knowledge of epidemiologic and/or health economics methods, (e.g., propensity score analysis, marginal structural modeling).