Evidera is one of the preeminent commercial entities analyzing effectiveness, establishing evidence, and substantiating value of health treatments within the global health industry. Through its market leading portfolio of health economics, outcomes research, market access, data analytics and epidemiology services, it partners with life sciences organizations worldwide to optimize the market access and commercial success of their products. Our research and consulting services are driven by world-class science and thought leadership and leverage a unique combination of capabilities. Our COA team, specializing in quantitative analysis of COA/patient-reported outcomes (PRO) endpoints for clinical studies and assessment of measurement properties of COA/PRO tools, has been extremely successful in the past few years and is actively growing. We are looking for an enthusiastic colleague at senior level who can contribute to our continued success and growth.
Successfully leading a team to complete all aspects of COA/PRO analytic projects.Contributing to the preparation of study plans, reviewing study materials, developing statistical analysis plans, working with data analysts to execute analyses, and assist with the interpretation and dissemination of finings.Leading meetings with clients around statistical and scientific methods and to present results from analyses.Providing scientific strategy advice to clients related to scientific and statistical issues Leading proposal development and other business development activities as required. Serving as the scientific and statistical thought leader internally and externally.Maintaining expertise in state-of-the-art data manipulations and statistical analyses.Mentoring junior statisticians, research associates, and/or data analysts, and overseeing their work in the context of projects.
Extensive practical experience in the application of statistics in clinical study design and outcomes researchStrong basis in fundamental statistical concepts and methods and familiarity with techniques such as but not limited to ANCOVA, MMRM, survival analysis (continuous and discrete), ROC analysis, logistic regression (binary, multinomial and conditional), multiple imputation of longitudinal data, propensity score (IPW, stratification, matching), sample size calculation, COA/PRO instrument assessment and validation (psychometric analysis).Excellent understanding of SAS®, clinical biostatistics, and ICH guidances/estimand framework Conversant knowledge of FDA and other regulatory guidances and regulations Deep and demonstrated understanding of clinical trial study datasets (e.g., SDTM and ADaM) to meet regulatory requirements and expectations (e.g., CDISC standards)Advanced understanding of COA/PRO measures and instruments PhD in (Statistics, Biostatistics, Health Outcomes/Services Research, or Epidemiology) and more than 5 years’ experience in relevant field; orMaster’s degree in scientific discipline (Biostatistics, Statistics, Health Outcomes/Services Research or Epidemiology) and more than 8 years’ experience in relevant fieldSAS, R, Microsoft Office Suite of programmes (other languages are considered a benefit)